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A new class of Multi-Objective Evolutionary Algorithms (MOEAs) has emerged recently that uses the concept of decomposition to overcome the challenges faced by the current state-of-the-art MOEAs in undertaking optimization problems with more than three objectives. This new class of MOEAs employs a set of reference points to decompose the objective space into multiple scalar problems and to generate...
To capture the multi-objective and uncertain nature of flexible job shop scheduling, a mathematical model for the multi-objective flexible job shop scheduling problem with release time uncertainties (mOFJSSP-RTU) is constructed, where three objectives of make-span, tardiness, and robustness are taken into account simultaneously under various constraints. To solve MOFJSSP-RTU appropriately, an improved...
According to the response surface methodology (RSM), this paper proposes a new trial vector perturbation model for Differential Evolution(DE). It not only consists of linear and nonlinear heuristics for optimum exploring, but also retains simplicity style of DE mutation operator in appearance which can help the new algorithm absorb many existed elegant methods from a large amount of DE variants. The...
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