Parallelization of population-based multi-objective meta-heuristics: An empirical study

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Parallelization of population-based multi-objective meta-heuristics: An empirical study

In single-objective optimization it is possible to find a global optimum, while in the multi-objective case no optimal solution is clearly defined, but several that simultaneously optimize all the objectives. However, the majority of this kind of problems cannot be solved exactly as they have very large and highly complex search spaces. Recently, meta-heuristic approaches have become important ...

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1 School of Computer Science and Engineering, Dalian Maritime University, 116026 Dalian, China 2 Department of Computer, Dalian University of Technology, 116023 Dalian, China [email protected] 3 Centre for Quantifiable Quality of Service in Communication Systems, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway [email protected] http://www.softcomputing.net 4 Dept. d...

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.............................................................................................. I Acknowledgements ............................................................................ II ركشو ءادهآ .............................................................................................. IV List of Figures .................................................................................

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ژورنال

عنوان ژورنال: Applied Mathematical Modelling

سال: 2006

ISSN: 0307-904X

DOI: 10.1016/j.apm.2005.05.021