A novel algorithm for solving optimal path planning problems based on parametrization method and fuzzy aggregation

DOI10.1016/j.physleta.2009.07.018zbMath1233.90253OpenAlexW1993964873MaRDI QIDQ665353

Juan-Miguel Gracia

Publication date: 5 March 2012

Published in: Physics Letters. A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physleta.2009.07.018

zbMATH Keywords

membership functionparametrization methodnon-linear programmingoptimal path planningfuzzy aggregationmulti-objective dynamic optimization

Mathematics Subject Classification ID

Decision theory (91B06) Multi-objective and goal programming (90C29) Nonlinear programming (90C30) Numerical optimization and variational techniques (65K10) Nonlinear systems in control theory (93C10) Statistical decision theory and fuzziness (62C86)

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Cites Work

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• On finding compromise solutions in multicriteria problems using the fuzzy min-operator
• Fuzzy logic for planning and decision making
• An applicable method for solving the shortest path problems
• Suboptimal control for nonlinear systems: a successive approximation approach
• Solving some optimal path planning problems using an approach based on measure theory
• Comparative evaluation of some interactive reference point-based methods for multi-objective optimisation
• The control parameterization enhancing transform for constrained optimal control problems
• Construction of optimal feedback control for nonlinear systems via Chebyshev polynomials