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GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
13 years 11 months ago
Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case
The focus of this paper is on how to design evolutionary algorithms (EAs) for solving stochastic dynamic optimization problems online, i.e. as time goes by. For a proper design, t...
Peter A. N. Bosman, Han La Poutré
GECCO
2007
Springer
180views Optimization» more  GECCO 2007»
13 years 11 months ago
Exploiting multiple robots to accelerate self-modeling
In previous work [8] a computational framework was demonstrated that allows a mobile robot to autonomously evolve models its own body for the purposes of adaptive behavior generat...
Josh C. Bongard
GECCO
2007
Springer
135views Optimization» more  GECCO 2007»
13 years 11 months ago
Industrial evolutionary computing
Arthur K. Kordon, Guido Smits, Mark E. Kotanchek
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
13 years 11 months ago
Continuous lunches are free!
This paper investigates extensions of No Free Lunch (NFL) theorems to countably infinite and uncountable infinite domains. The original NFL due to Wolpert and Macready states th...
Anne Auger, Olivier Teytaud
GECCO
2007
Springer
175views Optimization» more  GECCO 2007»
13 years 11 months ago
An evolutionary multiobjective approach to design highly non-linear Boolean functions
The proliferation of all kinds of devices with different security requirements and constraints, and the arms-race nature of the security problem are increasingly demanding the de...
Hernán E. Aguirre, Hiroyuki Okazaki, Yasush...
GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
13 years 11 months ago
Two-level of nondominated solutions approach to multiobjective particle swarm optimization
In multiobjective particle swarm optimization (MOPSO) methods, selecting the local best and the global best for each particle of the population has a great impact on the convergen...
M. A. Abido
GECCO
2007
Springer
135views Optimization» more  GECCO 2007»
13 years 11 months ago
A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms
In this work we present a novel and efficient algorithm– independent stopping criterion, called the MGBM criterion, suitable for Multiobjective Optimization Evolutionary Algorit...
Luis Martí, Jesús García, Ant...
GECCO
2007
Springer
152views Optimization» more  GECCO 2007»
13 years 11 months ago
Analysing evolvable cell design for optimisation of routing options
Evolution of analogue circuitry on a cell based system can benefit from the use of a generic cell design. A comparative analysis of the re-routing ability of two different cell ...
Daniel M. Ellin, Stuart J. Flockton
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
13 years 11 months ago
Agent-environment interaction in a multi-agent system: a formal model
In this paper, we introduce a formal-language model for explicitly formalizing agent-environment interaction in a multiagent systems (MAS) framework: Conversational Grammar System...
Gemma Bel Enguix, Maria Dolores Jiménez-L&o...