Agent-Based Evolutionary Search

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Sarker, Ruhul Amin (Επιμελητής έκδοσης), Ray, Tapabrata (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Σειρά:Adaptation, Learning, and Optimization, 5
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.