
Agent-Based Evolutionary Search
Springer (Publisher)
Published on 9. June 2010
Book
Hardback
291 pages
978-3-642-13424-1 (ISBN)
Description
Agent based evolutionary search is an emerging paradigm in computational int- ligence offering the potential to conceptualize and solve a variety of complex problems such as currency trading, production planning, disaster response m- agement, business process management etc. There has been a significant growth in the number of publications related to the development and applications of agent based systems in recent years which has prompted special issues of journals and dedicated sessions in premier conferences. The notion of an agent with its ability to sense, learn and act autonomously - lows the development of a plethora of efficient algorithms to deal with complex problems. This notion of an agent differs significantly from a restrictive definition of a solution in an evolutionary algorithm and opens up the possibility to model and capture emergent behavior of complex systems through a natural age- oriented decomposition of the problem space. While this flexibility of represen- tion offered by agent based systems is widely acknowledged, they need to be - signed for specific purposes capturing the right level of details and description. This edited volume is aimed to provide the readers with a brief background of agent based evolutionary search, recent developments and studies dealing with various levels of information abstraction and applications of agent based evo- tionary systems. There are 12 peer reviewed chapters in this book authored by d- tinguished researchers who have shared their experience and findings spanning across a wide range of applications.
More details
Series
Edition
1st Edition.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
48 farbige Abbildungen
291 p. 48 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 23 mm
Weight
672 gr
ISBN-13
978-3-642-13424-1 (9783642134241)
DOI
10.1007/978-3-642-13425-8
Schweitzer Classification
Other editions
Additional editions

Ruhul A. Sarker | Tapabrata Ray
Agent-Based Evolutionary Search
Book
09/2012
Springer
€106.99
Shipment within 7-9 days

Ruhul A. Sarker | Tapabrata Ray
Agent-Based Evolutionary Search
E-Book
07/2010
1st Edition
Springer
€96.29
Available for download
Content
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.