Agent-based evolutionary search / / Ruhul Amin Sarker and Tapabrata Ray (Eds.) |
Edizione | [1st ed. 2013.] |
Pubbl/distr/stampa | Berlin ; ; Heidelberg, : Springer-Verlag, c2010 |
Descrizione fisica | 1 online resource (X, 206 p.) |
Disciplina | 006.3 |
Altri autori (Persone) |
SarkerRuhul A
RayTapabrata |
Collana | Adaptation, learning and optimization |
Soggetto topico |
Multiagent systems
Evolutionary computation Computer algorithms |
ISBN | 3-642-34097-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Machine Learning and Multiagent Systems as Interrelated Technologies -- Ant Colony Optimization for the Multi-criteria Vehicle Navigation Problem -- Solving Instances of the Capacitated Vehicle Routing Problem Using Multi-Agent Non-Distributed and Distributed Environment -- Structure vs. Efficiency of the Cross-Entropy Based Population Learning Algorithm for Discrete-Continuous Scheduling with Continuous Resource Discretisation -- Triple-Action Agents Solving the MRCPSP/max Problem -- Team of A-Teams - a Study of the Cooperation Between Program Agents Solving Difficult Optimization Problems -- Distributed Bregman-Distance Algorithms for Min-Max Optimization -- A Probability Collectives Approach for Multi-Agent Distributed and Cooperative Optimization with Tolerance for Agent Failure. |
Record Nr. | UNINA-9910438048503321 |
Berlin ; ; Heidelberg, : Springer-Verlag, c2010 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Evolutionary optimization [[electronic resource] /] / edited by Ruhul Sarker, Masoud Mohammadian, Xin Yao |
Edizione | [1st ed. 2002.] |
Pubbl/distr/stampa | Boston, : Kluwer Academic Publishers, c2002 |
Descrizione fisica | 1 online resource (433 p.) |
Disciplina | 519.3 |
Altri autori (Persone) |
SarkerRuhul A
MohammadianMasoud YaoXin <1962-> |
Collana | International series in operations research & management science |
Soggetto topico |
Mathematical optimization
Operations research Evolutionary programming (Computer science) |
Soggetto genere / forma | Electronic books. |
ISBN |
1-280-46221-3
9786610462216 0-306-48041-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Conventional Optimization Techniques -- Evolutionary Computation -- Single Objective Optimization -- Evolutionary Algorithms and Constrained Optimization -- Constrained Evolutionary Optimization -- Multi-Objective Optimization -- Evolutionary Multi-Objective Optimization: A Critical Review -- Multi-Objective Evolutionary Algorithms for Engineering Shape Design -- Assessment Methodologies for Multiobjective Evolutionary Algorithms -- Hybrid Algorithms -- Utilizing Hybrid Genetic Algorithms -- Using Evolutionary Algorithms to Solve Problems by Combining Choices of Heuristics -- Constrained Genetic Algorithms and Their Applications in Nonlinear Constrained Optimization -- Parameter Selection in EAs -- Parameter Selection -- Application of EAs to Practical Problems -- Design of Production Facilities Using Evolutionary Computing -- Virtual Population and Acceleration Techniques for Evolutionary Power Flow Calculation in Power Systems -- Application of EAs to Theoretical Problems -- Methods for the Analysis of Evolutionary Algorithms on Pseudo-Boolean Functions -- A Genetic Algorithm Heuristic for Finite Horizon Partially Observed Markov Decision Problems -- Using Genetic Algorithms to Find Good K-Tree Subgraphs. |
Record Nr. | UNINA-9910394197403321 |
Boston, : Kluwer Academic Publishers, c2002 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Evolutionary optimization [[electronic resource] /] / edited by Ruhul Sarker, Masoud Mohammadian, Xin Yao |
Edizione | [1st ed. 2002.] |
Pubbl/distr/stampa | Boston, : Kluwer Academic Publishers, c2002 |
Descrizione fisica | 1 online resource (433 p.) |
Disciplina | 519.3 |
Altri autori (Persone) |
SarkerRuhul A
MohammadianMasoud YaoXin <1962-> |
Collana | International series in operations research & management science |
Soggetto topico |
Mathematical optimization
Operations research Evolutionary programming (Computer science) |
ISBN |
1-280-46221-3
9786610462216 0-306-48041-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Conventional Optimization Techniques -- Evolutionary Computation -- Single Objective Optimization -- Evolutionary Algorithms and Constrained Optimization -- Constrained Evolutionary Optimization -- Multi-Objective Optimization -- Evolutionary Multi-Objective Optimization: A Critical Review -- Multi-Objective Evolutionary Algorithms for Engineering Shape Design -- Assessment Methodologies for Multiobjective Evolutionary Algorithms -- Hybrid Algorithms -- Utilizing Hybrid Genetic Algorithms -- Using Evolutionary Algorithms to Solve Problems by Combining Choices of Heuristics -- Constrained Genetic Algorithms and Their Applications in Nonlinear Constrained Optimization -- Parameter Selection in EAs -- Parameter Selection -- Application of EAs to Practical Problems -- Design of Production Facilities Using Evolutionary Computing -- Virtual Population and Acceleration Techniques for Evolutionary Power Flow Calculation in Power Systems -- Application of EAs to Theoretical Problems -- Methods for the Analysis of Evolutionary Algorithms on Pseudo-Boolean Functions -- A Genetic Algorithm Heuristic for Finite Horizon Partially Observed Markov Decision Problems -- Using Genetic Algorithms to Find Good K-Tree Subgraphs. |
Record Nr. | UNINA-9910780215903321 |
Boston, : Kluwer Academic Publishers, c2002 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Evolutionary optimization / / edited by Ruhul Sarker, Masoud Mohammadian, Xin Yao |
Edizione | [1st ed. 2002.] |
Pubbl/distr/stampa | Boston, : Kluwer Academic Publishers, c2002 |
Descrizione fisica | 1 online resource (433 p.) |
Disciplina | 519.3 |
Altri autori (Persone) |
SarkerRuhul A
MohammadianMasoud YaoXin <1962-> |
Collana | International series in operations research & management science |
Soggetto topico |
Mathematical optimization
Operations research Evolutionary programming (Computer science) |
ISBN |
1-280-46221-3
9786610462216 0-306-48041-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Conventional Optimization Techniques -- Evolutionary Computation -- Single Objective Optimization -- Evolutionary Algorithms and Constrained Optimization -- Constrained Evolutionary Optimization -- Multi-Objective Optimization -- Evolutionary Multi-Objective Optimization: A Critical Review -- Multi-Objective Evolutionary Algorithms for Engineering Shape Design -- Assessment Methodologies for Multiobjective Evolutionary Algorithms -- Hybrid Algorithms -- Utilizing Hybrid Genetic Algorithms -- Using Evolutionary Algorithms to Solve Problems by Combining Choices of Heuristics -- Constrained Genetic Algorithms and Their Applications in Nonlinear Constrained Optimization -- Parameter Selection in EAs -- Parameter Selection -- Application of EAs to Practical Problems -- Design of Production Facilities Using Evolutionary Computing -- Virtual Population and Acceleration Techniques for Evolutionary Power Flow Calculation in Power Systems -- Application of EAs to Theoretical Problems -- Methods for the Analysis of Evolutionary Algorithms on Pseudo-Boolean Functions -- A Genetic Algorithm Heuristic for Finite Horizon Partially Observed Markov Decision Problems -- Using Genetic Algorithms to Find Good K-Tree Subgraphs. |
Record Nr. | UNINA-9910809900403321 |
Boston, : Kluwer Academic Publishers, c2002 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|