LEADER 12911nam 22009015 450 001 996465924003316 005 20230223084249.0 010 $a3-642-25566-3 024 7 $a10.1007/978-3-642-25566-3 035 $a(CKB)3400000000024097 035 $a(SSID)ssj0000610149 035 $a(PQKBManifestationID)11363075 035 $a(PQKBTitleCode)TC0000610149 035 $a(PQKBWorkID)10623575 035 $a(PQKB)10882192 035 $a(DE-He213)978-3-642-25566-3 035 $a(MiAaPQ)EBC6304156 035 $a(MiAaPQ)EBC5591856 035 $a(Au-PeEL)EBL5591856 035 $a(OCoLC)764433897 035 $a(PPN)157512827 035 $a(EXLCZ)993400000000024097 100 $a20111114d2011 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aLearning and Intelligent Optimization$b[electronic resource] $e5th International Conference, LION 5, Rome, Italy, January 17-21, 2011, Selected Papers /$fedited by Carlos A. Coello-Coello 205 $a1st ed. 2011. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2011. 215 $a1 online resource (XVII, 636 p.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v6683 300 $aIncludes index. 311 $a3-642-25565-5 327 $aIntro -- Title -- Preface -- Organization -- Table of Contents -- Main Track (Regular Papers) -- Multivariate Statistical Tests for Comparing Classification Algorithms -- Introduction -- Pairwise Comparison -- Univariate Case -- Multivariate Case -- Analysis of Variance -- Univariate Case -- Multivariate Case -- Experiments -- Setup -- Results -- Conclusions -- References -- Using Hyperheuristics under a GP Framework for Financial Forecasting -- Introduction -- Presentation of EDDIE 8 -- Hyperheuristics Framework -- Heuristics and Operators -- The Framework -- Experimental Setup -- Results -- Conclusion -- References -- On the Effect of Connectedness for Biobjective Multiple and Long Path Problems -- Introduction -- Background -- Multiobjective Combinatorial Optimization -- Local Search and Connectedness -- The Single-Objective Long k-Path Problem -- The Biobjective Long k-Path Problem -- Definition -- Experimental Analysis -- The Biobjective Multiple k-Path Problem -- Definition -- Experimental Analysis -- Conclusions and Future Works -- References -- Improving Parallel Local Search for SAT -- Introduction -- Background -- The Propositional Satisfiability Problem -- Local Search for SAT -- Refinements -- Previous Work -- Complete Methods for Parallel SAT -- Incomplete Methods for Parallel SAT -- Cooperative Algorithms -- Knowledge Sharing in Parallel Local Search for SAT -- Using Best Known Configurations -- Weighting Best Known Configurations -- Restart Policy -- Experiments -- Experimental Settings -- Practical Performances with 4 Cores -- Practical Performances with 8 Cores -- Hardware Impact -- Conclusions and Future Work -- References -- Variable Neighborhood Search for the Time-Dependent Vehicle Routing Problem with Soft Time Windows -- Introduction -- Problem Description -- Solution Method -- Initial Solution -- Shaking. 327 $aLocal Search -- Acceptance Decision -- Computational Results -- Conclusion -- References -- Solving the Two-Dimensional Bin Packing Problem with a Probabilistic Multi-start Heuristic -- Introduction -- Organization of the Paper -- Related Work -- A New ILP Model -- The Proposed Algorithm -- Probabilistic LGFi -- Multi-start Algorithm -- Experimental Evaluation -- Problem Instances -- Parameter Setting -- Computational Results -- Conclusions -- References -- Genetic Diversity and Effective Crossover in Evolutionary Many-objective Optimization -- Introduction -- Analysis of Pareto Optimal Solutions in Many-objective 0/1 Knapsack Problem -- Mating Based on Proximity in Objective Space -- Related Works -- Local Recombination -- Controlling Crossed Genes for Crossover -- Problem of Local Recombination in MaOPs -- CCG for Two-Point Crossover (CCGTX) -- CCG for Uniform Crossover (CCGUX) -- Preparation -- Algorithms and Selection Methods -- Problems, Parameters and Metrics -- Experimental Results and Discussion -- Diversity of Genes in the Population Obtained by Conventional Crossover -- Effects of Local Recombination in MaOPs -- Effects of CCGTX in MaOPs -- Effects of CCGUX in MaOPs -- Conclusions -- References -- An Optimal Stopping Strategy for Online Calibration in Local Search -- Introduction -- The Bruss Algorithm -- The Estimation of the Probability of Success in Local Exploration -- Illustration of the Approach -- Experiments -- Conclusion and Future Work -- References -- Analyzing the Effect of Objective Correlation on the Efficient Set of MNK-Landscapes -- Introduction -- Background -- Multiobjective Combinatorial Optimization -- Metaheuristics for Multiobjective Combinatorial Optimization -- NK- and MNK-Landscapes -- MNK-Landscapes: Multiobjective NK-Landscapes with Correlation -- Definition -- Correlation between Objective Functions. 327 $aAnalysis of the Efficient Set Properties -- Cardinality of the Efficient Set -- Number of Supported Efficient Solutions -- Connectedness of the Efficient Set -- Discussion -- References -- Instance-Based Parameter Tuning via Search Trajectory Similarity Clustering -- Introduction -- Preliminaries -- Automated Parameter Configuration Problem -- One-Size-Fits-All Configurator -- Instance-Based Configurator -- Performance Metric -- Solution Approach -- Search Trajectory Similarity -- Search Trajectory Representation -- Similarity Calculation -- Clustering Method -- Training and Testing Phases -- Experimental Design -- Experiment Settings -- Validity and Statistical Significant Measurement -- Experimental Setup -- Empirical Evaluation -- Performance Comparison -- Comparison on Feature Selection -- Sensitivity Analysis on Different Initial Sequence Configurations -- Computational Results -- Discussion -- Conclusion and Future Works -- References -- Effective Probabilistic Stopping Rules for Randomized Metaheuristics: GRASP Implementations -- Introduction and Motivation -- GRASP and Experimental Environment -- Normal Approximation for GRASP Iterations -- Probabilistic Stopping Rule -- Concluding Remarks -- References -- A Classifier-Assisted Framework for Expensive Optimization Problems: A Knowledge-Mining Approach -- Introduction -- Background -- Expensive Optimization Problems -- Simulator Infeasible Vectors -- Proposed Framework -- The Model -- The Classifier -- The Framework -- Performance Analysis -- Test Problem and Benchmarks -- Knowledge-Mining the Classifier -- Summary -- References -- Robust Gaussian Process-Based Global Optimization Using a Fully Bayesian Expected Improvement Criterion -- Introduction -- Efficient Global Optimization -- The Expected Improvement Sampling Criterion for a Gaussian Process. 327 $aClassical Parametrized Covariance Functions -- The EGO Algorithm -- The Case of Deceptive Functions -- Fully Bayesian One-Step Lookahead Optimization -- Student EI -- Numerical Experiments -- Optimization of a Deceptive Function -- Comparison on Sample Paths of a Gaussian Process -- References -- Hierarchical Hidden Conditional Random Fields for Information Extraction -- Introduction -- Hierarchical Hidden Conditional Random Fields -- Information Extraction -- Paper Organization -- HHMMs -- Representing an HHMM as a DBN -- HHCRFs -- Model -- Parameter Estimation -- Sentence Representation -- Hierarchical Models for Information Extraction -- Upper and Lower Levels -- Model Learning -- Inference -- Experiments -- Data -- Retrieved Results -- Performance Evaluation -- Results -- Conclusion -- References -- Solving Extremely Difficult MINLP Problems Using Adaptive Resolution Micro-GA with Tabu Search -- Introduction -- Related Work -- GAs for Solving MINLP Problems -- The Proposed Algorithm -- Variables Encoding and Genetic Operators -- Constraint Handling -- Micro GA -- Adaptive Resolution Approach -- Local Search -- Avoiding Redundancy -- Results -- Environment and Parameters -- Results and Discussion -- Conclusions and Future Work -- References -- Adaptive Abnormality Detection on ECG Signal by Utilizing FLAC Features -- Introduction -- Architecture of the Proposed Framework -- Preprocessing in Frequency Domain -- Local Auto-correlation on Complex Fourier Values (FLAC) for ECG -- Complex Subspace Method -- Experiments -- Conclusions -- References -- Gravitational Interactions Optimization -- Introduction -- Review GSA GIO and CSS -- Newton's Law of Universal Gravitation -- Gravitational Interactions Optimization -- Gravitational Interactions for Unimodal Optimization -- Gravitational Interactions for Multimodal Optimization -- Experiments. 327 $aTest Functions -- Results -- Conclusions -- References -- On the Neutrality of Flowshop Scheduling Fitness Landscapes -- Motivations -- Background -- Definition of the Permutation Flowshop Scheduling Problem -- Neighborhood and Local Search -- Fitness Landscape -- Neutral Networks Analysis for the Permutation Flowshop Scheduling Problem -- Experimental Design -- Neutral Degree -- Typology of Neutral Networks -- Exploiting Neutrality to Solve the FSP -- Reaching Portals -- How to Guide the Search? -- Discussion -- References -- A Reinforcement Learning Approach for the Flexible Job Shop Scheduling Problem -- Introduction -- Flexible Job Shop Scheduling Problem -- Problem Formulation -- Previous Approaches -- Dispatching Rules -- Reinforcement Learning -- Q-Learning -- The Proposed Approach: Learning / Optimization -- Pseudo-code of the Algorithm -- Example -- Experimental Results -- Instances -- Parameters -- Comparative Study -- Conclusions and Future Work -- References -- Supervised Learning Linear Priority Dispatch Rules for Job-Shop Scheduling -- Introduction -- Priority Dispatch Rules for Job-Shop Scheduling -- Logistic Regression -- Experimental Study -- Data Generation -- Training Size and Accuracy -- Comparison with Single Priority Dispatching Rules -- Robustness towards Data Distributions -- Fixed Weights -- Summary and Conclusion -- References -- Fine-Tuning Algorithm Parameters Using the Design of Experiments Approach -- Introduction -- Automated Tuning Framework -- Screening Phase -- Exploration Phase -- Exploitation Phase -- Experimental Results -- Traveling Salesman Problem (TSP) -- Quadratic Assignment Problem (QAP) -- Conclusion -- References -- MetaHybrid: Combining Metamodels and Gradient-Based Techniques in a Hybrid Multi-Objective Genetic Algorithm -- GA Elements: Focus on Elitism -- SQP Elements: Focus on Constraints. 327 $aMetamodels Derivatives. 330 $aThis book constitutes the thoroughly refereed post-conference proceedings of the 5th International Conference on Learning and Intelligent Optimization, LION 5, held in Rome, Italy, in January 2011. The 32 revised regular and 3 revised short papers were carefully reviewed and selected from a total of 99 submissions. In addition to the contributions to the general track there are 11 full papers and 3 short papers presented at the following four special sessions; IMON: Intelligent Multiobjective OptimizatioN, LION-PP: Performance Prediction Self* EAs: Self-tuning, self-configuring and self-generating evolutionary algorithms LION-SWAP: Software and Applications. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v6683 606 $aAlgorithms 606 $aComputer science 606 $aArtificial intelligence 606 $aComputer networks 606 $aPattern recognition systems 606 $aComputer science?Mathematics 606 $aDiscrete mathematics 606 $aAlgorithms 606 $aTheory of Computation 606 $aArtificial Intelligence 606 $aComputer Communication Networks 606 $aAutomated Pattern Recognition 606 $aDiscrete Mathematics in Computer Science 615 0$aAlgorithms. 615 0$aComputer science. 615 0$aArtificial intelligence. 615 0$aComputer networks. 615 0$aPattern recognition systems. 615 0$aComputer science?Mathematics. 615 0$aDiscrete mathematics. 615 14$aAlgorithms. 615 24$aTheory of Computation. 615 24$aArtificial Intelligence. 615 24$aComputer Communication Networks. 615 24$aAutomated Pattern Recognition. 615 24$aDiscrete Mathematics in Computer Science. 676 $a006.33 702 $aCoello-Coello$b Carlos A$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465924003316 996 $aLearning and Intelligent Optimization$9773725 997 $aUNISA LEADER 02944oam 2200733I 450 001 9910779301903321 005 20230725055616.0 010 $a1-136-59953-3 010 $a0-203-35752-3 010 $a1-283-88973-0 010 $a1-136-59954-1 024 7 $a10.4324/9780203357521 035 $a(CKB)2550000000710690 035 $a(EBL)1099062 035 $a(OCoLC)823389150 035 $a(SSID)ssj0000810558 035 $a(PQKBManifestationID)11446166 035 $a(PQKBTitleCode)TC0000810558 035 $a(PQKBWorkID)10833574 035 $a(PQKB)11039738 035 $a(MiAaPQ)EBC1099062 035 $a(Au-PeEL)EBL1099062 035 $a(CaPaEBR)ebr10639008 035 $a(CaONFJC)MIL420223 035 $a(OCoLC)847599529 035 $a(EXLCZ)992550000000710690 100 $a20180706e20111992 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aBuilding capitalism $ehistorical change and the labour process in the production of built environment /$fLinda Clarke 210 1$aOxon [England] :$cRoutledge,$d2011. 215 $a1 online resource (337 p.) 225 1 $aRoutledge revivals 225 0$aRoutledge revivals 300 $aFirst published in 1992 by Routledge. 311 $a0-415-68802-7 311 $a0-415-68788-8 320 $aIncludes bibliographical references and index. 327 $apt. I. Theoretical questions and considerations -- pt. II. Urbanization through artisan production : from Brill Farm to Somers Town -- pt. III. Urbanization through contracting. 330 $aFirst published in 1992, this Routledge Revival sees the reissue of a truly original exploration of the nature of urbanization and capitalism. Linda Clarke's vital work argues that:Urbanization is a product of the social human labour engaged in building as well as a concentration of the labour force.The quality of the labour process determines the development of production. Changes to the built environment reflect changes in the production process and, in particular, the development of wage labour. 410 0$aRoutledge Revivals 606 $aConstruction industry$zEngland$zLondon$xHistory 606 $aWages$xConstruction workers$zEngland$zLondon$xHistory 606 $aUrbanization$zEngland$zLondon$xHistory 606 $aCapitalism$zEngland$zLondon$xHistory 607 $aLondon (England)$xEconomic conditions 615 0$aConstruction industry$xHistory. 615 0$aWages$xConstruction workers$xHistory. 615 0$aUrbanization$xHistory. 615 0$aCapitalism$xHistory. 676 $a307.7609421 676 $a338.4/769/009421 676 $a338.4769009421 700 $aClarke$b Linda$f1947-,$0252320 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910779301903321 996 $aBuilding capitalism$93708411 997 $aUNINA