| Description |
1 online resource (xi, 284 pages) |
| Series |
Adaptation, Learning, and Optimization ; v. 5 |
|
Adaptation, learning and optimization ; v. 5.
|
| Contents |
Agent Based Evolutionary Approach: An Introduction -- Multi-Agent Evolutionary Model for Global Numerical Optimization -- An Agent Based Evolutionary Approach for Nonlinear Optimization with Equality Constraints -- Multiagent-Based Approach for Risk Analysis in Mission Capability Planning -- Agent Based Evolutionary Dynamic Optimization -- Divide and Conquer in Coevolution: A Difficult Balancing Act -- Complex Emergent Behaviour from Evolutionary Spatial Animat Agents -- An Agent-Based Parallel Ant Algorithm with an Adaptive Migration Controller -- An Attempt to Stochastic Modeling of Memetic Systems -- Searching for the Effective Bidding Strategy Using Parameter Tuning in Genetic Algorithm -- PSO (Particle Swarm Optimization): One Method, Many Possible Applications -- VISPLORE: Exploring Particle Swarms by Visual Inspection |
| Summary |
Presenting state-of-the-art theory and practice in the field, this volume includes novel frameworks, a convergence and complexity analysis, and real-world applications. It aims to raise awareness of this effective method of enhancing evolutionary algorithms |
| Bibliography |
Includes bibliographical references and index |
| Notes |
English |
|
Print version record |
| Subject |
Multiagent systems.
|
|
Evolutionary computation.
|
|
Computer algorithms.
|
|
Algorithms.
|
|
Algorithms
|
|
algorithms.
|
|
COMPUTERS -- Enterprise Applications -- Business Intelligence Tools.
|
|
COMPUTERS -- Intelligence (AI) & Semantics.
|
|
Evolutionary computation.
|
|
Computer algorithms.
|
|
Multiagent systems.
|
|
Ingénierie.
|
|
Algorithms
|
|
Computer algorithms
|
|
Evolutionary computation
|
|
Multiagent systems
|
|
Evolutionärer Algorithmus
|
|
Mehragentensystem
|
|
Maschinelles Lernen
|
| Form |
Electronic book
|
| Author |
Sarker, Ruhul A.
|
|
Ray, Tapabrata
|
| LC no. |
2010929473 |
| ISBN |
9783642134258 |
|
3642134254 |
|
9783642340963 |
|
3642340962 |
|
9783642340970 |
|
3642340970 |
|
