Fariborz Jolai

TL;DR: A new population based algorithm, the Lion Optimization Algorithm (LOA), is introduced, special lifestyle of lions and their cooperation characteristics has been the basic motivation for development of this optimization algorithm.

TL;DR: A mathematical model and heuristic approaches for flexible job shop scheduling problems (FJSP) are considered and it is concluded that the hierarchical algorithms have better performance than integrated algorithms and the algorithm which use tabu search and simulated annealing heuristics for assignment and sequencing problems consecutively is more suitable than the other algorithms.

TL;DR: In this paper, a stochastic programming model for an integrated forward/reverse logistics network design under uncertainty is developed to avoid the sub-optimality caused by the separate design of the forward and reverse networks.

TL;DR: In this article, a robust and reliable model for an integrated forward-reverse logistics network design, which simultaneously takes uncertain parameters and facility disruptions into account, is proposed, and the objective function of the proposed model is minimizing the nominal cost, while reducing disruption risk using the p -robustness criterion.

TL;DR: This paper proposes a new solution method based on the combination of particle swarm optimization (PSO) algorithm with variable neighborhood search (VNS) to solve the problem of a single-model assembly line balancing problem (ALBP).