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GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
13 years 9 months ago
On identifying global optima in cooperative coevolution
When applied to optimization problems, Cooperative Coevolutionary Algorithms (CCEA) have been observed to exhibit a behavior called relative overgeneralization. Roughly, they tend...
Anthony Bucci, Jordan B. Pollack
GECCO
2005
Springer
147views Optimization» more  GECCO 2005»
13 years 9 months ago
Adaptive sizing of populations and number of islands in distributed genetic algorithms
Deciding the appropriate population size and number of islands for distributed island-model genetic algorithms is often critical to the algorithm’s success. This paper outlines ...
Johan Berntsson, Maolin Tang
GECCO
2005
Springer
118views Optimization» more  GECCO 2005»
13 years 9 months ago
G2DGA: an adaptive framework for internet-based distributed genetic algorithms
The Internet is different from traditional parallel computing environments, and Distributed Genetic Algorithms (DGAs) for the Internet need to be designed to address these diffe...
Johan Berntsson
GECCO
2005
Springer
117views Optimization» more  GECCO 2005»
13 years 9 months ago
Agent-based modelling of product invention
Anthony Brabazon, Arlindo Silva, Tiago Ferra de So...
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
13 years 9 months ago
Stress testing real-time systems with genetic algorithms
Reactive real-time systems have to react to external events within time constraints: Triggered tasks must execute within deadlines. The goal of this article is to automate, based ...
Lionel C. Briand, Yvan Labiche, Marwa Shousha
GECCO
2005
Springer
13 years 9 months ago
Towards an analysis of dynamic environments
Although the interest in nature-inspired optimization of dynamic problems has been growing constantly over the past decade, very little has been done to analyze and characterize a...
Jürgen Branke, Erdem Salihoglu, Sima Uyar
GECCO
2005
Springer
157views Optimization» more  GECCO 2005»
13 years 9 months ago
Simple addition of ranking method for constrained optimization in evolutionary algorithms
During the optimization of a constrained problem using evolutionary algorithms (EAs), an individual in the population can be described using three important properties, i.e., obje...
Pei Yee Ho, Kazuyuki Shimizu
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
13 years 9 months ago
Local and global order 3/2 convergence of a surrogate evolutionary algorithm
A Quasi-Monte-Carlo method based on the computation of a surrogate model of the fitness function is proposed, and its convergence at super-linear rate 3/2 is proved under rather ...
Anne Auger, Marc Schoenauer, Olivier Teytaud
GECCO
2005
Springer
13 years 9 months ago
Use of domain information to improve the performance of an evolutionary algorithm
Ricardo Landa Becerra, Carlos A. Coello Coello
GECCO
2005
Springer
135views Optimization» more  GECCO 2005»
13 years 9 months ago
The impact of cellular representation on finite state agents for prisoner's dilemma
The iterated prisoner’s dilemma is a widely used computational model of cooperation and conflict. Many studies report emergent cooperation in populations of agents trained to p...
Daniel A. Ashlock, Eun-Youn Kim