An adaptive evolutionary multi-objective approach based on simulated annealing
A multi-objective optimization problem can be solved by decomposing it into one or more single objective subproblems in some multi-objective metaheuristic algorithms. Each subproblem corresponds to one weighted aggregation function. For example, MOEA/D is an evolutionary multi-objective optimization...
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| Format: | Article |
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MIT Press
2011
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| Online Access: | https://eprints.nottingham.ac.uk/32605/ |