In this paper, we introduce an optimization algorithm based on a partial evaluation policy. The solutions in the population are evaluated based on a random ...
In this paper, we introduce an optimization algorithm based on a partial evaluation policy. The solutions in the population are evaluated based on a random ...
This paper proposes a novel approach of constraint handling, wherein for every solution, the evaluation of the constraints follow a predefined sequence.
In this paper, we introduce a novel scheme of constraint handling, wherein every solution is assigned a random sequence of constraints and the evaluation ...
A differential evolution algorithm with constraint sequencing - SciSpace
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TL;DR: A novel scheme of constraint handling, wherein every solution is assigned a random sequence of constraints and the evaluation process is aborted ...
Constrained optimization is an active area of research where attempts are being regularly made to improve the efficiency of the underlying optimization ...
... evolution algorithm with constraint sequencing: An efficient approach for problems with inequality constraints', Applied Soft Computing Journal, 36, pp. 101 ...
Ray, and R. Sarker, "A self-adaptive differential evolution algorithm with constraint sequencing," n Proceedings AI 2012: Advances in Artificial Intelligence, ...
Abstract—Numerous multi-objective evolutionary algorithms have been designed for constrained optimisation over past two decades.
2020/10/03 · This technique enables to efficiently satisfy both inequality and equality constraints, which makes it particularly adapted for the solution of ...