A NEW HYBRID METAHEURISTIC ALGORITHM FOR SIZE OPTIMIZATION OF DISCRETE STRUCTURES

The primary objective of this paper is to propose a novel technique for hybridizing various metaheuristic algorithms to optimize the size of discrete structures. To accomplish this goal, two well-known metaheuristic algorithms, particle swarm optimization (PSO) and enhanced colliding bodies optimization (ECBO) are hybridized to propose a new algorithm called hybrid PSO-ECBO (HPE) algorithm. The performance of the new HPE algorithm is investigated in solving the challenging structural optimization problems of discrete steel trusses and an improvement in results has been achieved. The numerical results demonstrate the superiority of the proposed HPE algorithm over the original versions of PSO, ECBO, and some other algorithms in the literature.

A NEW HYBRID METAHEURISTIC ALGORITHM FOR SIZE OPTIMIZATION OF DISCRETE STRUCTURES Keywords:

Structural optimization , metaheuristic , particle swarm optimization , colliding body optimization , truss structures.