Swarm intelligence
A path-relinking approach for a bi-criteria disassembly sequencing problem
Computers and Operations Research
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A scatter search approach to the optimum disassembly sequence problem
Computers and Operations Research
A Path Relinking approach for the Team Orienteering Problem
Computers and Operations Research
Scheduling problems with general effects of deterioration and learning
Information Sciences: an International Journal
Modeling automatic assembly and disassembly operations for virtual manufacturing
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Fuzzy-Petri-net-based disassembly planning considering human factors
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Minimizing resource consumption on uniform parallel machines with a bound on makespan
Computers and Operations Research
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In classical disassembly sequencing problems (DSPs), the disassembly time of each item is assumed fixed and sequence-independent. From a practical perspective, the actual processing time of a component could depend on its position in the sequence. In this paper, a novel DSP called the learning-effect DSP (LDSP) is proposed by considering the general effects of learning in DSP. A modified simplified swarm optimization (SSO) method developed by revising the most recently published variants of SSO is proposed to solve this new problem. The presented SSO scheme improves the update mechanism, which is the core of any soft computing based methods, and revises the self-adaptive parameter control procedure. The conducted computational experiment with up to 500 components reflects the effectiveness of the modified SSO method in terms of final accuracy, convergence speed, and robustness.