Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)最新文献_第5页

Punctuated anytime learning for evolving multi-agent capture strategies 不断发展的多代理捕获策略的间断随时学习

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) Pub Date : 2004-06-19 DOI: 10.1109/CEC.2004.1331117

H. Blumenthal, G. Parker

引用次数: 9

PSO approaches to coevolve IPD strategies 协同进化IPD策略的PSO方法

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) Pub Date : 2004-06-19 DOI: 10.1109/CEC.2004.1330879

N. Franken, A. Engelbrecht

引用次数: 17

Labeled-GA with adaptive mutation rate 具有自适应突变率的标记遗传算法

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) Pub Date : 2004-06-19 DOI: 10.1109/CEC.2004.1331121

P. Hartono, S. Hashimoto, M. Wahde

引用次数: 5

The effect of noise on the performance of cultural evolution in multi-agent systems 多智能体系统中噪声对文化进化性能的影响

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) Pub Date : 2004-06-19 DOI: 10.1109/CEC.2004.1331109

D. Curran, C. O'Riordan

{"title":"The effect of noise on the performance of cultural evolution in multi-agent systems","authors":"D. Curran, C. O'Riordan","doi":"10.1109/CEC.2004.1331109","DOIUrl":"https://doi.org/10.1109/CEC.2004.1331109","url":null,"abstract":"This work examines the effect of the addition of noise to the cultural learning process of a population of agents. Experiments are undertaken using an artificial life simulator capable of simulating population learning (through the use of genetic algorithms) and lifetime learning (through the use of neural networks). To simulate cultural learning, (the exchange of information through nongenetic means) a group of highly fit agents is selected at each generation to function as teachers which are assigned a number of pupils to instruct. Cultural exchanges occur through a hidden layer of an agent's neural network known as the verbal layer. Through the use of back-propagation, a pupil agent imitates the teacher's behaviour and overall population fitness is increased. We introduce cultural mutation into a population of agents by adding noise to cultural exchanges between teacher and pupil agents. We conduct a series of experiments with varying values of cultural mutation to study the effects of this operator on the performance of the population. We show that the addition of noise to cultural exchanges can improve on the performance of cultural learning.","PeriodicalId":152088,"journal":{"name":"Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130970905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

An application of graph based evolutionary algorithms for diversity preservation 基于图的进化算法在生物多样性保护中的应用

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) Pub Date : 2004-06-19 DOI: 10.1109/CEC.2004.1330887

K. Bryden, D. Ashlock, D. McCorkle

{"title":"An application of graph based evolutionary algorithms for diversity preservation","authors":"K. Bryden, D. Ashlock, D. McCorkle","doi":"10.1109/CEC.2004.1330887","DOIUrl":"https://doi.org/10.1109/CEC.2004.1330887","url":null,"abstract":"A difficult application case of evolutionary algorithms is that in which individual fitness evaluations take several processor-minutes to a few processor-hours. The design of evolutionary algorithms with such expensive fitness evaluation differs substantially from the norm where fitness evaluation is rapid. In this paper we apply evolutionary algorithms to a thermal systems engineering design problem - the design of a biomas cook stove currently in use in Central America. Fitness evaluation involves the use of computational fluid dynamics (CFD) modeling of the flow of hot air and heat transport within the stove to equalize the surface temperature. The goal is to optimize the placement and size of baffles that deflect hot gasses underneath the cook top of the stove. Three techniques are used to permit evolutionary algorithm to function on this challenging problem using a population of relatively small size. First, computations are performed on a Linux cluster machine yielding a large, fixed performance increase. Second, the resolution of the mesh for CFD computations used a minimal; mesh that yields acceptable fidelity of CFD computations. Third, a diversity preserving technique called a graph based evolutionary algorithm (GBEA) is used to retain population diversity during evolution. A usable stove design, subsequently deployed in the field, was located by the evolutionary algorithm. In this paper we demonstrate that GBEAs preserve diversity on this baffle design problem and give evidence that highly connected graphs is a good choice for future work on analogous CFD problems. Diversity preservation is a function of both tournament size and the connectivity (geography) of the graph used.","PeriodicalId":152088,"journal":{"name":"Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125579730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Autonomous agent response learning by a multi-species particle swarm optimization 基于多物种粒子群优化的自主智能体响应学习

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) Pub Date : 2004-06-19 DOI: 10.1109/CEC.2004.1330938

C. Chow, H. Tsui

引用次数: 46

Particle swarm optimization with adaptive linkage learning 基于自适应链接学习的粒子群优化

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) Pub Date : 2004-06-19 DOI: 10.1109/CEC.2004.1330902

Deepak Devicharan, C. Mohan

引用次数: 19

A fuzzy-optima definition based multiobjective optimization of a racing car tyre-suspension system 基于模糊最优定义的赛车轮胎悬架系统多目标优化

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) Pub Date : 2004-06-19 DOI: 10.1109/CEC.2004.1330831

M. Farina, M. Gobbi

引用次数: 1

Symbolic regression modeling of blown film process effects 吹膜过程效应的符号回归模型

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) Pub Date : 2004-06-19 DOI: 10.1109/CEC.2004.1330907

A. Kordon, C. Lue

引用次数: 12

High performance clustering with differential evolution 基于差分进化的高性能聚类

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) Pub Date : 2004-06-19 DOI: 10.1109/CEC.2004.1331142

S. Paterlini, T. Krink

引用次数: 86