The proposed solution implements three approaches to multi-objective multi-constraint optimization, namely, an evolutionary approach with NSGAII, a swarm intelligence approach with MOPSO and stochastic hill climbing approach with MOSA.
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The proposed solution implements three approaches to multi-objective multi-constraint optimization, namely, an evolutionary approach with NSGAII, a swarm intelligence approach with MOPSO and stochastic hill climbing approach with MOSA.
Read Less
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New. Print on demand Contains: Illustrations, black & white, Illustrations, color. SpringerBriefs in Applied Sciences and Technology ; SpringerBriefs in Computational Intelligence . XI, 64 p. 35 illus., 5 illus. in color. Intended for professional and scholarly audience.
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