Hossein Akbaripour

TL;DR: In this paper, the authors proposed new mixed-integer programming (MIP) models for solving the service selection optimization and scheduling (SSOS) problem with basic composition structures (i.e., sequential, parallel, loop, and selective).

TL;DR: The Generalized Particle Swarm Optimization (GEPSO) algorithm is introduced as a new version of the PSO algorithm for continuous space optimization, which enriches the original PSO by incorporating two new terms into the velocity updating equation, which aim to deepen the interrelations of particles and their knowledge sharing, increase variety in the swarm, and provide a better search in unexplored areas of the search space.

TL;DR: A new variation of sampling-based methods called semi-lazy probabilistic roadmap (SLPRM) for motion planning of industrial manipulators, which benefits from the advantages of the basic probabilism roadmap (PRM), and lazy-PRM (L PRM) methods.

TL;DR: In this article, a conceptual model called cloud-based global supply chain (CBGSC) has been developed which can overcome or mitigate the issues and risks associated with supply chain processes on a global scale.

TL;DR: A new approach for robust parameter tuning of heuristics and metaheuristics is proposed, which not only considers the solution quality or the number of fitness function evaluations, but also aims to minimize the running time.