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Published in 2019 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-018-00919-w
Abstract: MOEA/D decomposes the multiobjective optimization problem into a number of subproblems. However, one subproblem’s requirement for exploitation and exploration varies with the evolutionary process. Furthermore, different subproblems’ requirements for exploitation and exploration are also different…
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Keywords:
multiobjective evolutionary;
decomposition based;
restriction;
based multiobjective ... See more keywords
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Published in 2020 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2018.2871473
Abstract: Multipopulation is an effective optimization component often embedded into evolutionary algorithms to solve optimization problems. In this paper, a new multipopulation-based multiobjective genetic algorithm (MOGA) is proposed, which uses a unique cross-subpopulation migration process inspired…
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Keywords:
multipopulation;
optimization;
multiobjective evolutionary;
algorithm ... See more keywords
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Published in 2019 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2019.2908087
Abstract: The advent of 3-D IC technology facilitates the fabrication of large electronic circuits on small-area chips ensuring high performance. For a 3-D IC, the problem of placement followed by the assignment of through-silicon vias (TSVs)…
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Keywords:
optimization;
optimization placement;
based multiobjective;
guided based ... See more keywords
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Published in 2017 at "Sustainability"
DOI: 10.3390/su9122353
Abstract: In the current context of increasing energy demand, timber-glass buildings will become a necessary trend in sustainable architecture in the future. Especially in severe cold zones of China, energy consumption and the visual comfort of…
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Keywords:
glass;
simulation based;
severe cold;
based multiobjective ... See more keywords