In the last two decades, the fast and elitist non-dominated sorting genetic algorithm (NSGA-
II) has attracted extensive research interests, and it is still one of the hottest research …

This paper provides an extensive review of the popular multi-objective optimization
algorithm NSGA-II for selected combinatorial optimization problems viz. assignment …

This paper proposes a data-driven two-stage multi-criteria decision-making (MCDM)
framework to investigate the optimal configuration of a stand-alone wind/PV/hydrogen …

Abstract The Distributed Permutation Flowshop Scheduling (DPFS) problem is one of the
fastest-growing topics in the scheduling literature, which in turn is among the most prolific …

Group scheduling problems have attracted much attention owing to their many practical
applications. This work proposes a new bi-objective serial-batch group scheduling problem …

The previous studies on the flexible job shop scheduling problems (FJSP) with machine
flexibility and worker flexibility normally assume that each machine is operated by one …

Industrial products' reuse, recovery, and recycling are very important due to the exhaustion
of ecological resources. Effective product disassembly planning methods can improve the …

This work investigates a new multi-period vaccination planning problem that simultaneously
optimizes the total travel distance of vaccination recipients (service level) and the …

The urgent mission for carbon peak and carbon neutrality is demanding greater industrial
sustainability. Energy-efficient hybrid flow shop scheduling problem (EEHFSP) has been …

With consideration of uncertainty in the distributed manufacturing systems, this paper
addresses a multi-objective fuzzy distributed hybrid flow shop scheduling problem with fuzzy …