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View all- Liu ZWang BTang K(2022)Handling Constrained Multiobjective Optimization Problems via Bidirectional CoevolutionIEEE Transactions on Cybernetics10.1109/TCYB.2021.305617652:10(10163-10176)Online publication date: Oct-2022
Solving constrained multi-objective optimization problems is a difficult task, it needs to simultaneously optimize multiple conflicting objectives and a number of constraints. This paper first reviews a number of popular constrained multi-objective ...
Multi-objective optimization problems (MOPs) are very common in practice. To solve MOPs, many kinds of multi-objective evolutionary algorithms (MOEAs) are proposed. However, different MOEAs have different performances for different MOPs. Therefore, it ...
Two major goals in multi-objective optimization are to obtain a set of nondominated solutions as closely as possible to the true Pareto front (PF) and maintain a well-distributed solution set along the Pareto front. In this paper, we propose a teaching-...
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