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Open access Aug 2026

An Adaptive Co-Evolutionary Memetic Algorithm for a Hybrid Flow Shop Scheduling Problem with Sequence-Dependent Setup and Transportation Times

The hybrid flow shop scheduling problem (HFSP) with unrelated parallel machines (UPMs), sequence-dependent setup times (SDSTs), and inter-stage transportation times has recently emerged as a prominent research topic. To address this scheduling problem with the objective of minimizing the maximum completion time (makesp...

De-Kun Wang, Yue-Chang Lei, Zheng Yuan et al. · 0 citations
Open access

Novel solution algorithms for machine scheduling problems emerging in complex systems

The findings demonstrate how mathematical optimization and advanced metaheuristics can be combined with problem-specific structural insights to improve solution quality and computational efficiency in production and operations research.

Söhnke Maecker · 0 citations
Conference Open access 2026

Job Shop Scheduling Problem Based on an Improved Genetic Algorithm

Experimental results show that the improved algorithm achieves an optimal Makespan value of 190 in dynamic disturbance scenarios and exhibits strong robustness, providing an efficient and feasible solution for job shop scheduling in complex production environments.

Jianguo Du, Chengkun Li, Zijie Tang · 0 citations
Open access Sep 2026

Using Evolving Algorithms to Solve Bi-Criteria-Objective Function Machine Scheduling Problems

     This research examines the suitability of two new local search-based metaheuristics (i.e., Simulated Annealing (SA) and Particle Swarm Optimisation (PSO)) for addressing single-machine scheduling problems in terms of two complementary objective functions:  and . We also analyze the interaction of the two objective...

Iraq T. Abbas, R. J. Mitlif · 0 citations
Open access Oct 2026

A Hybrid Metaheuristic for Bin Packing Problem with Conflicts and Item-Dependent Bin Costs

This paper investigates a new transportation problem arising in automotive parts milk-run logistics under a business contract in which the payment for each vehicle is determined by the maximum direct shipment cost among its assigned suppliers, plus a fixed stop-off charge for each additional supplier. The company deter...

Wei Xiao, Yu-Miao Huang, Si-Ping Min et al. · 0 citations
Open access 2026

A bi-level algorithmic framework for the multi-objective flexible job shop scheduling problem

These findings demonstrate the effectiveness and adaptability of the proposed framework for energy-aware flexible job shop scheduling and show that the BLDMA framework achieves better non-dominated solution sets on the tested instances.

Jia-Yu Liu, Juin-Han Chen, Hai-Yang Liu et al. · 0 citations

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