An automatic algorithm selection approach for the multi-mode resource-constrained project scheduling problem

DOI10.1016/j.ejor.2013.08.021zbMath1339.90143OpenAlexW2060331334MaRDI QIDQ296973

Tommy Messelis, Patrick de Causmaecker

Publication date: 24 June 2016

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://lirias.kuleuven.be/handle/123456789/410075

zbMATH Keywords

decision support systemsproject schedulingcombinatorial optimisationalgorithm portfolioautomatic algorithm selectionperformance prediction

Mathematics Subject Classification ID

Convex programming (90C25) Management decision making, including multiple objectives (90B50) Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59) Combinatorial optimization (90C27)

Related Items (12)

A column-generation-based algorithm for a resource-constrained project scheduling problem with a fractional shared resource ⋮ Optimizing resource-constrained project scheduling problem considering the reliability function ⋮ An algorithm selection approach for the flexible job shop scheduling problem: choosing constraint programming solvers through machine learning ⋮ Multi‐mode resource‐constrained project scheduling using modified variable neighborhood search heuristic ⋮ A prediction model for ranking branch-and-bound procedures for the resource-constrained project scheduling problem ⋮ A data-driven \textit{meta}-learning recommendation model for multi-mode resource constrained project scheduling problem ⋮ An updated survey of variants and extensions of the resource-constrained project scheduling problem ⋮ Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: a state-of-the-art ⋮ A modified modeling approach and a heuristic procedure for the multi-mode resource constrained project scheduling problem with activity splitting ⋮ On the choice of baseline schedules for the discrete time/resource trade-off problem under stochastic environment ⋮ An innovative four-layer heuristic for scheduling multi-mode projects under multiple resource constrains ⋮ Solving Multi-Mode Resource-Constrained Multi-Project Scheduling Problem with Combinatorial Auction Mechanisms

Uses Software

• PSPLIB
• SATzilla
• WEKA

Cites Work

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