This paper presents a hybrid constraint handling technique for a two population adaptive co-evolutionary algorithm, which uses a self determining and regulating ...
Abstract— Evolutionary Algorithms are amongst the best known methods of solving difficult constraint optimization problems, for which traditional methods ...
In constrained optimization evolutionary algorithms (COEAs), constraint-handling technique is used to balance the objective function and constraints.
This paper presents a hybrid constraint handling technique for a two population adaptive co-evolutionary algorithm, which uses a self determining and regulating ...
Bibliographic details on A novel hybrid constraint handling technique for evolutionary optimization.
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The book covers six main topics: swarm-intelligence-based approaches, studies in differential evolution, evolutionary multiobjective constrained optimization, hybrid approaches, real-world applications and the recent use of the artificial immune system in constrained optimization.
Mar 15, 2023 · AUGM2 is an exact approach for multi-objective problems based on an improved epsilon constraint and branch and cut techniques; it ...
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A novel approach to deal with numerical and engineering constrained optimization problems, which incorporates a hybrid evolutionary algorithm and an ...
This paper proposes a novel constraint-handling technique based on biased dynamic weights for constrained evolutionary algorithm that can keep a good ...
Oct 22, 2024 · In this work an adaptive constraint handling technique is studied on a set of test problems with two evolutionary algorithms. The results ...