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Evolutionary Multi-Criterion Optimization [[electronic resource] ] : 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings / / edited by Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret Wiecek, Yaochu Jin, Christian Grimme
| Evolutionary Multi-Criterion Optimization [[electronic resource] ] : 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings / / edited by Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret Wiecek, Yaochu Jin, Christian Grimme |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIV, 702 p. 267 illus.) |
| Disciplina | 004 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Numerical analysis
Algorithms Computer science Artificial intelligence Computer networks Numerical Analysis Models of Computation Artificial Intelligence Computer Communication Networks |
| ISBN | 3-319-54157-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | On the effect of scalarising norm choice in a ParEGO implementation -- Multi-objective big data optimization with Metal and Spark -- An empirical assessment of the properties of inverted generational distance indicators on multi- and many-objective optimization -- Solving the Bi-objective traveling thief problem with multi-objective evolutionary algorithms -- Automatically Configuring multi-objective local search using multi-objective optimization -- The multi-objective shortest path problem is NP-hard, or is it -- Angle-based preference models in multi-objective optimization -- Quantitative performance assessment of multi-objective optimizers: The average runtime attainment function -- A multi-objective strategy to allocate roadside units in a vehicular network with guaranteed levels of service -- An approach for the local exploration of discrete many objective optimization problems -- A note on the detection of outliers in a binary outranking relation -- Classifying meta-modeling methodologies for evolutionary multi-objective optimization: First results -- Weighted stress function method for multi-objective evolutionary algorithm based on decomposition -- Timing the decision support for real-world many-objective problems -- On the influence of altering the action set on PROMETHEE II's relative ranks -- Peek { Shape { Grab: a methodology in three stages for approximating the non-dominated points of multi-objective discrete combinatorial optimization problems with a multi-objective meta-heuristic -- A new reduced-length genetic representation for evolutionary multi-objective clustering -- A fast incremental BSP tree archive for non-dominated points -- Adaptive operator selection for many-objective optimization with NSGA-III -- On using decision maker preferences with ParEGO -- First investigations on noisy model-based multi-objective optimization -- Fusion of many-objective non-dominated solutions using reference points -- An expedition to multi-modal multi-objective optimization landscapes -- Neutral neighbors in Bi-objective optimization: Distribution of the most promising for permutation problems -- Multi-objective adaptation of a parameterized GVGAI agent towards several games -- Towards standardized and seamless integration of expert knowledge into multi-objective evolutionary optimization algorithms -- Empirical investigations of reference point based methods when facing a massively large number of objectives: First results -- Building and using an ontology of preference-based multi-objective evolutionary algorithms -- A fitness landscape analysis of pareto local search on Bi-objective permutation flow-shop scheduling problems -- Dimensionality reduction approach for many-objective vehicle routing problem with demand responsive transport -- Heterogeneous evolutionary swarms with partial redundancy solving multi-objective tasks -- Multiple meta-models for robustness estimation in multi-objective robust optimization -- Predator-Prey techniques for solving multi-objective scheduling problems for unrelated parallel machines -- An overview of weighted and unconstrained scalarizing functions -- Multi-objective representation setups for deformation-based design optimization -- Design perspectives of an evolutionary process for multi-objective molecular optimization -- Towards a better balance of diversity and convergence in NSGA-III: First results -- A comparative study of fast adaptive preference-guided evolutionary multi-objective optimization -- A population-based algorithm for learning a majority rule sorting model with coalitional veto -- Injection of extreme points in evolutionary multio-objective optimization algorithms -- The impact of population size, number of children, and number of reference points on the performance of NSGA-III -- Multi-objective optimization for liner shipping fleet repositioning -- Surrogate-assisted partial order-based evolutionary optimization -- Hyper-volume indicator gradient ascent multi-objective optimization -- Toward step-size adaptation in evolutionary multi-objective optimization -- Computing 3-D expected hyper-volume improvement and related integrals in asymptotically optimal time. |
| Record Nr. | UNISA-996466082803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Evolutionary Multi-Criterion Optimization : 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings / / edited by Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret Wiecek, Yaochu Jin, Christian Grimme
| Evolutionary Multi-Criterion Optimization : 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings / / edited by Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret Wiecek, Yaochu Jin, Christian Grimme |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIV, 702 p. 267 illus.) |
| Disciplina | 004 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Numerical analysis
Algorithms Computer science Artificial intelligence Computer networks Numerical Analysis Models of Computation Artificial Intelligence Computer Communication Networks |
| ISBN | 3-319-54157-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | On the effect of scalarising norm choice in a ParEGO implementation -- Multi-objective big data optimization with Metal and Spark -- An empirical assessment of the properties of inverted generational distance indicators on multi- and many-objective optimization -- Solving the Bi-objective traveling thief problem with multi-objective evolutionary algorithms -- Automatically Configuring multi-objective local search using multi-objective optimization -- The multi-objective shortest path problem is NP-hard, or is it -- Angle-based preference models in multi-objective optimization -- Quantitative performance assessment of multi-objective optimizers: The average runtime attainment function -- A multi-objective strategy to allocate roadside units in a vehicular network with guaranteed levels of service -- An approach for the local exploration of discrete many objective optimization problems -- A note on the detection of outliers in a binary outranking relation -- Classifying meta-modeling methodologies for evolutionary multi-objective optimization: First results -- Weighted stress function method for multi-objective evolutionary algorithm based on decomposition -- Timing the decision support for real-world many-objective problems -- On the influence of altering the action set on PROMETHEE II's relative ranks -- Peek { Shape { Grab: a methodology in three stages for approximating the non-dominated points of multi-objective discrete combinatorial optimization problems with a multi-objective meta-heuristic -- A new reduced-length genetic representation for evolutionary multi-objective clustering -- A fast incremental BSP tree archive for non-dominated points -- Adaptive operator selection for many-objective optimization with NSGA-III -- On using decision maker preferences with ParEGO -- First investigations on noisy model-based multi-objective optimization -- Fusion of many-objective non-dominated solutions using reference points -- An expedition to multi-modal multi-objective optimization landscapes -- Neutral neighbors in Bi-objective optimization: Distribution of the most promising for permutation problems -- Multi-objective adaptation of a parameterized GVGAI agent towards several games -- Towards standardized and seamless integration of expert knowledge into multi-objective evolutionary optimization algorithms -- Empirical investigations of reference point based methods when facing a massively large number of objectives: First results -- Building and using an ontology of preference-based multi-objective evolutionary algorithms -- A fitness landscape analysis of pareto local search on Bi-objective permutation flow-shop scheduling problems -- Dimensionality reduction approach for many-objective vehicle routing problem with demand responsive transport -- Heterogeneous evolutionary swarms with partial redundancy solving multi-objective tasks -- Multiple meta-models for robustness estimation in multi-objective robust optimization -- Predator-Prey techniques for solving multi-objective scheduling problems for unrelated parallel machines -- An overview of weighted and unconstrained scalarizing functions -- Multi-objective representation setups for deformation-based design optimization -- Design perspectives of an evolutionary process for multi-objective molecular optimization -- Towards a better balance of diversity and convergence in NSGA-III: First results -- A comparative study of fast adaptive preference-guided evolutionary multi-objective optimization -- A population-based algorithm for learning a majority rule sorting model with coalitional veto -- Injection of extreme points in evolutionary multio-objective optimization algorithms -- The impact of population size, number of children, and number of reference points on the performance of NSGA-III -- Multi-objective optimization for liner shipping fleet repositioning -- Surrogate-assisted partial order-based evolutionary optimization -- Hyper-volume indicator gradient ascent multi-objective optimization -- Toward step-size adaptation in evolutionary multi-objective optimization -- Computing 3-D expected hyper-volume improvement and related integrals in asymptotically optimal time. |
| Record Nr. | UNINA-9910483648603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Parallel Problem Solving from Nature - PPSN X [[electronic resource] ] : 10th International Conference Dortmund, Germany, September 13-17, 2008 Proceedings / / edited by Günter Rudolph, Thomas Jansen, Simon M. Lucas, Carlo Poloni, Nicola Beume
| Parallel Problem Solving from Nature - PPSN X [[electronic resource] ] : 10th International Conference Dortmund, Germany, September 13-17, 2008 Proceedings / / edited by Günter Rudolph, Thomas Jansen, Simon M. Lucas, Carlo Poloni, Nicola Beume |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
| Descrizione fisica | 1 online resource (XX, 1164 p.) |
| Disciplina | 004.35 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer systems
Computer programming Software engineering Computer science Algorithms Computer System Implementation Programming Techniques Software Engineering Theory of Computation |
| ISBN | 3-540-87700-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Formal Theory -- New Techniques -- Experimental Analysis -- Multiobjective Optimization -- Hybrid Methods -- Applications. |
| Record Nr. | UNISA-996465335703316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Parallel Problem Solving from Nature - PPSN X : 10th International Conference Dortmund, Germany, September 13-17, 2008 Proceedings / / edited by Günter Rudolph, Thomas Jansen, Simon M. Lucas, Carlo Poloni, Nicola Beume
| Parallel Problem Solving from Nature - PPSN X : 10th International Conference Dortmund, Germany, September 13-17, 2008 Proceedings / / edited by Günter Rudolph, Thomas Jansen, Simon M. Lucas, Carlo Poloni, Nicola Beume |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
| Descrizione fisica | 1 online resource (XX, 1164 p.) |
| Disciplina | 004.35 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer systems
Computer programming Software engineering Computer science Algorithms Computer System Implementation Programming Techniques Software Engineering Theory of Computation |
| ISBN | 3-540-87700-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Formal Theory -- New Techniques -- Experimental Analysis -- Multiobjective Optimization -- Hybrid Methods -- Applications. |
| Record Nr. | UNINA-9910483213703321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Parallel Problem Solving from Nature, PPSN XI [[electronic resource] ] : 11th International Conference, Krakov, Poland, September 11-15, 2010, Proceedings, Part II / / edited by Robert Schaefer, Carlos Cotta, Joanna Kolodziej, Günter Rudolph
| Parallel Problem Solving from Nature, PPSN XI [[electronic resource] ] : 11th International Conference, Krakov, Poland, September 11-15, 2010, Proceedings, Part II / / edited by Robert Schaefer, Carlos Cotta, Joanna Kolodziej, Günter Rudolph |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (XXII, 556 p. 182 illus.) |
| Disciplina | 570.285 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Bioinformatics
Artificial intelligence Computer science Algorithms Pattern recognition systems Computer science—Mathematics Discrete mathematics Computational and Systems Biology Artificial Intelligence Theory of Computation Automated Pattern Recognition Discrete Mathematics in Computer Science |
| ISBN | 3-642-15871-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multiobjective Optimization, Models and Applications -- A Novel Smart Multi-Objective Particle Swarm Optimisation Using Decomposition -- A Hybrid Scalarization and Adaptive ?-Ranking Strategy for Many-Objective Optimization -- pMODE-LD+SS: An Effective and Efficient Parallel Differential Evolution Algorithm for Multi-Objective Optimization -- Improved Dynamic Lexicographic Ordering for Multi-Objective Optimisation -- Privacy-Preserving Multi-Objective Evolutionary Algorithms -- Optimizing Delivery Time in Multi-Objective Vehicle Routing Problems with Time Windows -- Speculative Evaluation in Particle Swarm Optimization -- Towards Directed Open-Ended Search by a Novelty Guided Evolution Strategy -- Consultant-Guided Search Algorithms with Local Search for the Traveling Salesman Problem -- Many-Objective Test Problems to Visually Examine the Behavior of Multiobjective Evolution in a Decision Space -- Preference-Based Multi-Objective Particle Swarm Optimization Using Desirabilities -- GPGPU-Compatible Archive Based Stochastic Ranking Evolutionary Algorithm (G-ASREA) for Multi-Objective Optimization -- Hybrid Directional-Biased Evolutionary Algorithm for Multi-Objective Optimization -- A Framework for Incorporating Trade-Off Information Using Multi-Objective Evolutionary Algorithms -- Applications, Engineering and Economical Models -- Topography-Aware Sensor Deployment Optimization with CMA-ES -- Evolutionary Optimization on Problems Subject to Changes of Variables -- On-Line Purchasing Strategies for an Evolutionary Algorithm Performing Resource-Constrained Optimization -- Parallel Artificial Immune System in Optimization and Identification of Composite Structures -- Bioreactor Control by Genetic Programming -- Solving the One-Commodity Pickup and Delivery Problem Using an Adaptive Hybrid VNS/SA Approach -- Testing the Dinosaur Hypothesis under Empirical Datasets -- Fractal Gene Regulatory Networks for Control of Nonlinear Systems -- An Effective Hybrid Evolutionary Local Search for Orienteering and Team Orienteering Problems with Time Windows -- Discrete Differential Evolution Algorithm for Solving the Terminal Assignment Problem -- Decentralized Evolutionary Agents Streamlining Logistic Network Design -- Testing the Permutation Space Based Geometric Differential Evolution on the Job-Shop Scheduling Problem -- New Uncertainty Handling Strategies in Multi-objective Evolutionary Optimization -- Evolving a Single Scalable Controller for an Octopus Arm with a Variable Number of Segments -- Multi-agent Systems and Parallel Approaches -- An Island Model for the No-Wait Flow Shop Scheduling Problem -- Environment-Driven Embodied Evolution in a Population of Autonomous Agents -- Large-Scale Global Optimization Using Cooperative Coevolution with Variable Interaction Learning -- EvoShelf: A System for Managing and Exploring Evolutionary Data -- Differential Evolution Algorithms with Cellular Populations -- Flocking in Stationary and Non-stationary Environments: A Novel Communication Strategy for Heading Alignment -- Evolution of XPath Lists for Document Data Selection -- PMF: A Multicore-Enabled Framework for the Construction of Metaheuristics for Single and Multiobjective Optimization -- Parallel Evolutionary Approach of Compaction Problem Using MapReduce -- Ant Colony Optimization with Immigrants Schemes in Dynamic Environments -- Secret Key Specification for a Variable-Length Cryptographic Cellular Automata Model -- Variable Neighborhood Search and Ant Colony Optimization for the Rooted Delay-Constrained Minimum Spanning Tree Problem -- Adaptive Modularization of the MAPK Signaling Pathway Using the Multiagent Paradigm -- Genetic Computing and Games -- Experimental Comparison of Methods to Handle Boundary Constraints in Differential Evolution -- Entropy-Driven Evolutionary Approaches to the Mastermind Problem -- Evolutionary Detection of New Classes of Equilibria: Application in Behavioral Games -- Design and Comparison of two Evolutionary Approaches for Solving the Rubik’s Cube -- Statistical Analysis of Parameter Setting in Real-Coded Evolutionary Algorithms -- Performance of Network Crossover on NK Landscapes and Spin Glasses -- Promoting Phenotypic Diversity in Genetic Programming -- A Genetic Programming Approach to the Matrix Bandwidth-Minimization Problem -- Using Co-solvability to Model and Exploit Synergetic Effects in Evolution -- Fast Grammar-Based Evolution Using Memoization -- Evolution of Conventions and Social Polarization in Dynamical Complex Networks -- Evolving Strategies for Updating Pheromone Trails: A Case Study with the TSP -- The Role of Syntactic and Semantic Locality of Crossover in Genetic Programming -- The Layered Learning Method and Its Application to Generation of Evaluation Functions for the Game of Checkers. |
| Record Nr. | UNISA-996465893003316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Parallel Problem Solving from Nature, PPSN XI [[electronic resource] ] : 11th International Conference, Krakov, Poland, September 11-15, 2010, Proceedings, Part I / / edited by Robert Schaefer, Carlos Cotta, Joanna Kolodziej, Günter Rudolph
| Parallel Problem Solving from Nature, PPSN XI [[electronic resource] ] : 11th International Conference, Krakov, Poland, September 11-15, 2010, Proceedings, Part I / / edited by Robert Schaefer, Carlos Cotta, Joanna Kolodziej, Günter Rudolph |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (XXI, 742 p. 211 illus.) |
| Disciplina | 570.285 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Bioinformatics
Artificial intelligence Computer science Algorithms Pattern recognition systems Computer science—Mathematics Discrete mathematics Computational and Systems Biology Artificial Intelligence Theory of Computation Automated Pattern Recognition Discrete Mathematics in Computer Science |
| ISBN | 3-642-15844-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Theory of Evolutionary Computing (I) -- Optimal Fixed and Adaptive Mutation Rates for the LeadingOnes Problem -- Mirrored Sampling and Sequential Selection for Evolution Strategies -- Optimisation and Generalisation: Footprints in Instance Space -- Adaptive Drift Analysis -- Optimizing Monotone Functions Can Be Difficult -- Log-Linear Convergence of the Scale-Invariant (?/? w ,?)-ES and Optimal ? for Intermediate Recombination for Large Population Sizes -- Exploiting Overlap When Searching for Robust Optima -- Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape Analysis -- One-Point Geometric Crossover -- When Does Dependency Modelling Help? Using a Randomized Landscape Generator to Compare Algorithms in Terms of Problem Structure -- First-Improvement vs. Best-Improvement Local Optima Networks of NK Landscapes -- Differential Mutation Based on Population Covariance Matrix -- General Lower Bounds for the Running Time of Evolutionary Algorithms -- A Binary Encoding Supporting Both Mutation and Recombination -- Towards Analyzing Recombination Operators in Evolutionary Search -- Theory of Evolutionary Computing (II) -- Bidirectional Relation between CMA Evolution Strategies and Natural Evolution Strategies -- A Fine-Grained View of GP Locality with Binary Decision Diagrams as Ant Phenotypes -- Drift Analysis with Tail Bounds -- More Effective Crossover Operators for the All-Pairs Shortest Path Problem -- Comparison-Based Adaptive Strategy Selection with Bandits in Differential Evolution -- Fixed Parameter Evolutionary Algorithms and Maximum Leaf Spanning Trees: A Matter of Mutation -- An Archive Maintenance Scheme for Finding Robust Solutions -- Experimental Supplements to the Theoretical Analysis of Migration in the Island Model -- General Scheme for Analyzing Running Times of Parallel Evolutionary Algorithms -- Negative Drift in Populations -- Log(?) Modifications for Optimal Parallelism -- The Linkage Tree Genetic Algorithm -- An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System -- The Role of Degenerate Robustness in the Evolvability of Multi-agent Systems in Dynamic Environments -- Machine Learning, Classifier Systems, Image Processing -- Evolutionary Learning of Technical Trading Rules without Data-Mining Bias -- Using Computational Intelligence to Identify Performance Bottlenecks in a Computer System -- Selecting Small Audio Feature Sets in Music Classification by Means of Asymmetric Mutation -- Globally Induced Model Trees: An Evolutionary Approach -- Open-Ended Evolutionary Robotics: An Information Theoretic Approach -- A Novel Similarity-Based Crossover for Artificial Neural Network Evolution -- Indirect Encoding of Neural Networks for Scalable Go -- Comparison-Based Optimizers Need Comparison-Based Surrogates -- A Cooperative Coevolutionary Approach to Partitional Clustering -- Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task -- Incorporating Domain Knowledge into Evolutionary Computing for Discovering Gene-Gene Interaction -- The Application of Pittsburgh-Style Learning Classifier Systems to Address Genetic Heterogeneity and Epistasis in Association Studies -- Threshold Selection, Mitosis and Dual Mutation in Cooperative Co-evolution: Application to Medical 3D Tomography -- Comparative Analysis of Search and Score Metaheuristics for Bayesian Network Structure Learning Using Node Juxtaposition Distributions -- Analyzing the Credit Default Swap Market Using Cartesian Genetic Programming -- Memetic Algorithms, Hybridized Techniques, Meta and Hyperheurisics -- A Memetic Cooperative Optimization Schema and Its Application to the Tool Switching Problem -- Ownership and Trade in Spatial Evolutionary Memetic Games -- A Hyper-Heuristic Approach to Strip Packing Problems -- Asymptotic Analysis of Computational Multi-Agent Systems -- Path-Guided Mutation for Stochastic Pareto Local Search Algorithms -- Scheduling English Football Fixtures over the Holiday Period Using Hyper-heuristics -- Graph Clustering Based Model Building -- How to Choose Solutions for Local Search in Multiobjective Combinatorial Memetic Algorithms -- Secure and Task Abortion Aware GA-Based Hybrid Metaheuristics for Grid Scheduling -- A Memetic Algorithm for the Pickup and Delivery Problem with Time Windows Using Selective Route Exchange Crossover -- Ant Based Hyper Heuristics with Space Reduction: A Case Study of the p-Median Problem -- A Study of Multi-parent Crossover Operators in a Memetic Algorithm -- A Hybrid Genetic Algorithm for the Traveling Salesman Problem Using Generalized Partition Crossover -- A Memetic Algorithm with Non Gradient-Based Local Search Assisted by a Meta-model -- Multiobjective Optimization, Theoretical Aspects -- Theoretically Investigating Optimal ?-Distributions for the Hypervolume Indicator: First Results for Three Objectives -- Convergence Rates of (1+1) Evolutionary Multiobjective Optimization Algorithms -- Tight Bounds for the Approximation Ratio of the Hypervolume Indicator -- Evolutionary Multiobjective Optimization Algorithm as a Markov System -- A Natural Evolution Strategy for Multi-objective Optimization -- Solving Multiobjective Optimization Problem by Constraint Optimization -- Enhancing Diversity for Average Ranking Method in Evolutionary Many-Objective Optimization -- Objective Space Partitioning Using Conflict Information for Many-Objective Optimization -- How Crossover Speeds Up Evolutionary Algorithms for the Multi-criteria All-Pairs-Shortest-Path Problem -- Path Relinking on Many-Objective NK-Landscapes -- In Search of Equitable Solutions Using Multi-objective Evolutionary Algorithms -- Stopping Criteria for Genetic Algorithms with Application to Multiobjective Optimization -- Defining and Optimizing Indicator-Based Diversity Measures in Multiobjective Search -- On Expected-Improvement Criteria for Model-based Multi-objective Optimization -- Parameter Tuning Boosts Performance of Variation Operators in Multiobjective Optimization. |
| Record Nr. | UNISA-996465943503316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||