A genetic algorithm for the robust resource leveling problem

DOI10.1007/s10951-015-0457-6zbMath1341.90067OpenAlexW2225762843MaRDI QIDQ283265

Erik L. Demeulemeester, Hong-Bo Li

Publication date: 13 May 2016

Published in: Journal of Scheduling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10951-015-0457-6

zbMATH Keywords

project schedulinggenetic algorithmrobust resource levelingstochastic activity durations

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59) Performance evaluation, queueing, and scheduling in the context of computer systems (68M20)

Related Items (5)

A genetic algorithm using triplet nucleotide encoding and DNA reproduction operations for unconstrained optimization problems ⋮ Resource leveling in projects with flexible structures ⋮ A hybrid genetic algorithm for scheduling jobs sharing multiple resources under uncertainty ⋮ An empirical analysis of a set of hybrid heuristics for the solution of the resource leveling problem ⋮ Stochastic project scheduling with hierarchical alternatives

Uses Software

• PSPLIB
• RanGen

Cites Work

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