Solving the musical orchestration problem using multiobjective constrained optimization with a genetic local search approach

DOI10.1007/s10732-009-9113-7zbMath1196.90064OpenAlexW2008912500MaRDI QIDQ707734

Gérard Assayag, Emmanuel Saint-James, Grégoire Carpentier

Publication date: 8 October 2010

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

Full work available at URL: https://doi.org/10.1007/s10732-009-9113-7

zbMATH Keywords

local searchevolutionary algorithmsglobal constraintsmultiobjective combinatorial optimizationorchestrationcompositional algorithmsCDCSolvercomputer musiccomputer-aided composition

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59) Case-oriented studies in operations research (90B90)

Uses Software

• OpenMusic
• Tabu search

Cites Work

• The Pareto fitness genetic algorithm: test function study
• An efficient constraint handling method for genetic algorithms
• Parameter estimation of a plucked string synthesis model using a genetic algorithm with perceptual fitness calculation
• Multiobjective A*
• Genetic local search for multi-objective combinatorial optimization
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