Agent-Based Evolutionary Search

• Corporate Author: SpringerLink (Online service)
• Other Authors: Sarker, Ruhul Amin (Editor), Ray, Tapabrata (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Series: Adaptation, Learning, and Optimization, 5
• Subjects: Engineering.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Applications of Mathematics.

The performance of Evolutionary Algorithms can be enhanced by integrating the concept of agents. Agents and Multi-agents can bring many interesting features which are beyond the scope of traditional evolutionary process and learning. This book presents the state-of-the art in the theory and practice...

Table of 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.