An Improved Multi-Objective Particle Swarm Optimization Algorithm for Solving Multi-mode Resource-constrained Multi-project Scheduling Problem

To address the challenging Multi-Mode Resource-Constrained Multi-Project Scheduling Problem (MRCMPSP) that involves scheduling multiple instances of projects with various execution modes, subject to resource constraints and precedence relations, this paper proposes the Delay Parallel Decoupled Sched...

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Vydané v:	2023 4th International Conference on Information Science, Parallel and Distributed Systems (ISPDS) s. 437 - 441
Hlavní autori:	Chen, Dejun, Wang, Ben
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 14.07.2023
Predmet:	Clustering algorithms Delays Dynamic scheduling Heuristic algorithms Multi-mode Resource-constrained Multi-project Scheduling Problem Multi-objective optimization problem Particle Swarm Optimization Algorithm Schedules Scheduling algorithms Topology
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