Improved selection in evolutionary multi-objective optimization of multi-skill resource-constrained project scheduling problem

DOI10.1016/J.INS.2019.01.002zbMath1443.90184OpenAlexW2907336245MaRDI QIDQ2005520

Maciej Laszczyk, Paweł B. Myszkowski

Publication date: 8 October 2020

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2019.01.002

zbMATH Keywords

multi-objective optimizationscheduling

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (7)

Dual population approximate constrained Pareto front for constrained multiobjective optimization ⋮ Cooperative-competitive two-stage game mechanism assisted many-objective evolutionary algorithm ⋮ New pseudo polynomial algorithms for a partial resource-constrained project scheduling problem ⋮ Multi-project scheduling problem under shared multi-skill resource constraints ⋮ Multi-objective grasshopper optimization algorithm based on multi-group and co-evolution ⋮ An updated survey of variants and extensions of the resource-constrained project scheduling problem ⋮ Diversity based selection for many-objective evolutionary optimisation problems with constraints

Uses Software

• PSPLIB

Cites Work

• Evolutionary algorithms for multi-objective optimization: Performance assessments and comparisons
• Bi-objective resource-constrained project scheduling with robustness and makespan criteria
• A random key based genetic algorithm for the resource constrained project scheduling problem
• Scheduling subject to resource constraints: Classification and complexity
• A tabu search approach for the resource constrained project scheduling problem
• PSPLIB -- a project scheduling problem library
• The trade off between diversity and quality for multi-objective workforce scheduling
• A discrete artificial bee colony algorithm for the multi-objective flexible job-shop scheduling problem with maintenance activities
• Multi-objective metaheuristic algorithms for the resource-constrained project scheduling problem with precedence relations
• A market-based multi-agent system model for decentralized multi-project scheduling
• Failure-Directed Search for Constraint-Based Scheduling

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