A hybrid approach for multi-objective combinatorial optimisation problems in ship design and shipping

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  2. Dr Aykut Olcer
Author(s)Olcer A
Publication type Article
JournalComputers & Operations Research
Year2008
Volume35
Issue9
Pages2760-2775
ISSN (print)0305-0548
ISSN (electronic)1873-765X
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Numerous real-world problems relating to ship design and shipping are characterised by combinatorially explosive alternatives as well as multiple conflicting objectives and are denoted as multi-objective combinatorial optimisation (MOCO) problems. The main problem is that the solution space is very large and therefore the set of feasible solutions cannot be enumerated one by one. Current approaches to solve these problems are multi-objective metaheuristics techniques, which fall in two categories: population-based search and trajectory-based search. This paper gives an overall view for the MOCO problems in ship design and shipping where considerable emphasis is put on evolutionary computation and the evaluation of trade-off solutions. A two-stage hybrid approach is proposed for solving a particular MOCO problem in ship design, subdivision arrangement of a ROPAX vessel. In the first stage, a multi-objective genetic algorithm method is employed to approximate the set of pareto-optimal solutions through an evolutionary optimisation process. In the subsequent stage, a higher-level decision-making approach is adopted to rank these solutions from best to worst and to determine the best solution in a deterministic environment with a single decision maker.
PublisherPergamon
URLhttp://dx.doi.org/10.1016/j.cor.2006.12.010
DOI10.1016/j.cor.2006.12.010
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