Apply Cultural Algorithm to Co-Evolution of Multi-Agent System
碩士 === 輔仁大學 === 資訊工程學系 === 94 === In this paper, we proposed a framework called Cultural Coevolutionary Multi-Agent Model (CCMAM) which applies cultural algorithm to the coevolutionary of 3APL-based Multi-Agents platform. Our purpose is to develop a coevolvable agent group model which includes two f...
Main Authors: | Hsing-Chang Lai, 賴信彰 |
---|---|
Other Authors: | Chien-Chang Hsu |
Format: | Others |
Language: | en_US |
Published: |
2006
|
Online Access: | http://ndltd.ncl.edu.tw/handle/19393779292528502803 |
Similar Items
-
Using Modified Evolution Strategy To Solve Sequencing Problem - SRS Algorithm And Multi-Agent System Approach
by: Wu, Hsin-Yee, et al.
Published: (1996) -
Collective Learning in Multi-Agent Systems Based on Cultural Algorithms
by: Juan Terán, et al.
Published: (2014-08-01) -
Algorithm Analysis in Multi-agent Systems
by: Laura PACHECO, et al.
Published: (2019-12-01) -
Multi-objective grasshopper optimization algorithm based on multi-group and co-evolution
by: Chao Wang, et al.
Published: (2021-04-01) -
An Agent-Based Co-Evolutionary Multi-Objective Algorithm for Portfolio Optimization
by: Rafał Dreżewski, et al.
Published: (2017-08-01)