The flow shop scheduling problem is finding a sequence given n jobs with same order at m
machines according to certain performance measure (s). The job can be processed on at …

Multi-Objective (MO) optimization is a well-known research field with respect to the
complexity of production planning and scheduling. In recent years, many different …

Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …

This paper proposes a hybrid quantum-inspired genetic algorithm (HQGA) for the
multiobjective flow shop scheduling problem (FSSP), which is a typical NP-hard …

This paper presents a novel discrete differential evolution (DDE) algorithm for solving the no-
wait flow shop scheduling problems with makespan and maximum tardiness criteria. First …

This paper studies the prize-collecting vehicle routing problem (PCVRP), which is a new
variant of the vehicle routing problem. In the PCVRP, besides the vehicle assignment and …

This paper contains a complete and updated review of the literature for multiobjective
flowshop problems, which are among the most studied environments in the scheduling …

Designing multimodal freight transport networks can facilitate the economic development of
regions and countries as well as help to reduce negative environmental impacts. It is …

This paper proposes an effective hybrid algorithm based on differential evolution (DE),
namely HDE, to solve multi-objective permutation flow shop scheduling problem (MPFSSP) …

The real life scheduling problems often have several conflicting objectives. The solutions of
these problems can provide deeper insights to the decision maker than those of single …