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Recent advances in differential evolution: a survey and experimental analysis
Differential Evolution (DE) is a simple and efficient optimizer, especially for continuous optimization. For these reasons DE has often been employed for solving various engineering problems. On the other hand, the DE ...
Two Algorithmic Enhancements for the Parallel Differential Evolution
This paper proposes the use of two algorithms based on the parallel differential evolution. The first algorithm proposes the use of endemic control parameters within a parallel differential evolution algorithm; the ...
A Study on scale factor in distributed differential evolution.
This paper proposes the employment of multiple scale factor values within distributed differential evolution structures. Four different scale factor schemes are proposed, tested, compared and analyzed. Two schemes simply ...
Shuffle Or Update Parallel Differential Evolution for Large-Scale Optimization
This paper proposes a novel algorithm for large-scale optimization problems. The proposed algorithm, namely shuffle or update parallel differential evolution (SOUPDE) is a structured population algorithm characterized by ...
Scale Factor Inheritance Mechanism in Distributed Differential Evolution
This article proposes a distributed differential evolution which employs a novel self-adaptive scheme, namely scale factor inheritance. In the proposed algorithm, the population is distributed over several sub-populations ...