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UDE-III: An Enhanced Unified Differential Evolution Algorithm for Constrained Optimization Problems
On the other hand, the bottom sub-population employs strategy adaptation and one trial vector generation strategy is implemented on each target vector.
A Multi-operator Ensemble LSHADE with Restart and Local Search Mechanisms for Single-objective Optimization
This paper proposes mLSHADE-RL, an enhanced version of LSHADE-cnEpSin, which is one of the winners of the CEC 2017 competition in real-parameter single-objective optimization.
Enhanced Multiobjective Evolutionary Algorithm based on Decomposition for Solving the Unit Commitment Problem
The unit commitment (UC) problem is a nonlinear, high-dimensional, highly constrained, mixed-integer power system optimization problem and is generally solved in the literature considering minimizing the system operation cost as the only objective.
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