Differential Evolution to Solve Constrained Optimisation Problems
Abstract
Differential Evolution (DE) is a population based stochastic
optimisation algorithm. The aim of this work is to show how DE can be
used to solve constrained optimisation problems. Penalty functions are
not used and a simple feasibility rule allows to choose between
feasible and non-feasible solutions. Also, equality constraints are
dealt with a fixed tolerance and no extra diversity mechanism is
used. This approach was tested with a well known benchmark. The
results obtained outperform other state-of-art techniques in terms of
quality of solutions and computational cost.
[DOI: 10.1685/CSC06130] About DOI
optimisation algorithm. The aim of this work is to show how DE can be
used to solve constrained optimisation problems. Penalty functions are
not used and a simple feasibility rule allows to choose between
feasible and non-feasible solutions. Also, equality constraints are
dealt with a fixed tolerance and no extra diversity mechanism is
used. This approach was tested with a well known benchmark. The
results obtained outperform other state-of-art techniques in terms of
quality of solutions and computational cost.
[DOI: 10.1685/CSC06130] About DOI
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PDFDOI: https://doi.org/10.1685/
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