583222 - A hybrid metaheuristic for minimizing total tardiness and electricity costs

Tuesday, May 21, 2019

4:10 PM – 4:30 PM

Location: St Johns 30

Primary Contact(s)

This study presents a new particle swarm optimization (PSO) and simulated annealing (SA) algorithm in order to solve a problem minimizing the total production tardiness and electricity costs by controlling scheduling and layout together in a flexible job shop. The proposed algorithm is modified and enhanced from a hybrid PSO-SA algorithm addressed in literature for unconstrained continuous problems. In particular, a new binary representation is designed for the encoding and decoding of solutions. The performance of the developed PSO-SA is evaluated in terms of fitness value and CPU time and is shown to be better than that of PSO in illustrative examples.