AN ADAPTIVE CONSTRAINT HANDLING TECHNIQUE FOR PARTICLE SWARM IN CONSTRAINED OPTIMIZATION PROBLEMS

Érica Da Costa Reis Carvalho, José Pedro Gonçalves Carvalho, Heder Soares Bernardino, Patrícia Habib Hallak, Afonso Celso de Castro Lemonge
2016 Revista CIATEC-UPF  
Nature inspired meta-heuristics are largely used to solve optimization problems. However, these techniques should be adapted when solving constrained optimization problems, which are common in real world situations. Here an adaptive penalty approach (called Adaptive Penalty Method, APM) is combined with a particle swarm optimization (PSO) technique to solve constrained optimization problems. This approach is analyzed using a benchmark of test-problems and 5 mechanical engineering problems.
more » ... ring problems. Moreover, three variants of APM are considered in the computational experiments. Comparison results show that the proposed algorithm obtains a promising performance on the majority of the test problems
doi:10.5335/ciatec.v8i1.6023 fatcat:blswr7snsrfnvorml3ezeummye