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EC
2012
289views ECommerce» more  EC 2012»
12 years 2 months ago
Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm
In a multimodal optimization task, the main purpose is to find multiple optimal solutions (global and local), so that the user can have a better knowledge about different optima...
Kalyanmoy Deb, Amit Saha
IADIS
2008
13 years 8 months ago
Gapbnf_Rule: A Genetic Miner Rule
The aim of this paper is to present an evolutionary system for classification problem called GAPBNF_Rule. GAPBNF_Rule is a powerful evolutionary method that distinguishes between ...
Rasha Shakir Abdul-Wahhab
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
14 years 26 days ago
Supporting free-form design using a component based representation: an overview
This paper reviews the development of an interactive evolutionary design system (IEDS) for conceptual design, which integrates an agent based ‘build and evolve’ approach with ...
Azahar T. Machwe, Ian C. Parmee
GECCO
2006
Springer
205views Optimization» more  GECCO 2006»
13 years 10 months ago
Bounding XCS's parameters for unbalanced datasets
This paper analyzes the behavior of the XCS classifier system on imbalanced datasets. We show that XCS with standard parameter settings is quite robust to considerable class imbal...
Albert Orriols-Puig, Ester Bernadó-Mansilla
CEC
2007
IEEE
14 years 1 months ago
Solving multimodal problems via multiobjective techniques with Application to phase equilibrium detection
Abstract— For solving multimodal problems by means of evolutionary algorithms, one often resorts to multistarts or niching methods. The latter approach the question: ‘What is e...
Mike Preuss, Günter Rudolph, Feelly Tumakaka