On the convergence of multiobjective evolutionary algorithms
Article Abstract:
The use of evolutionary algorithms for multiobjective programming (MOP) or for decision problems with alternatives taken from a real-valued vector space was examined. These were evaluated according to a vector-valued objective function. Selection mechanisms, possibilities of temporary fitness deterioration and problems on unattainable alternatives for such multiobjective evolutionary algorithms (MOEAs) were investigated. The theoretical characteristics of MOEAs such as stochastic convergence with probability 1 were examined.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 1999
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A multiobjective evolutionary algorithm for scheduling and inspection planning in software development projects
Article Abstract:
A model of the software development process comprising the phase coding, inspection, test and rework is taken to discuss the multiobjective optimization problem. To solve this problem a multi-objective evolutionary algorithm (MOEA), is designed. The relevant details of this algorithm are presented.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2005
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A multiobjective evolutionary algorithm for approximating the efficient set
Article Abstract:
Derivation of evolutionary algorithms for continuous optimization of stochastic convergence is described.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 2007
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