On finding multiple Pareto-optimal solutions using classical and evolutionary generating methods

DOI10.1016/j.ejor.2006.08.002zbMath1123.90048OpenAlexW2036103851MaRDI QIDQ877666

Pradyumn Kumar Shukla, Kalyanmoy Deb

Publication date: 3 May 2007

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

Full work available at URL: https://doi.org/10.1016/j.ejor.2006.08.002

zbMATH Keywords

performance analysismultiple objective programmingPareto-optimal solutionsgenerating methodsevolutionary multi-objective optimization (EMO)

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Management decision making, including multiple objectives (90B50)

Related Items (12)

New algorithms for discrete vector optimization based on the Graef-Younes method and cone-monotone sorting functions ⋮ Two efficient algorithms for constructing almost even approximations of the Pareto front in multi-objective optimization problems ⋮ A new hybrid evolutionary multiobjective algorithm guided by descent directions ⋮ The minimum cost network upgrade problem with maximum robustness to multiple node failures ⋮ Multiobjective optimization methods for congestion management in deregulated power systems ⋮ Multi-objective retrospective optimization using stochastic zigzag search ⋮ Generalized multiobjective evolutionary algorithm guided by descent directions ⋮ The cross-entropy method in multi-objective optimisation: an assessment ⋮ A new Pareto set generating method for multi-criteria optimization problems ⋮ A smooth proximity measure for optimality in multi-objective optimization using Benson's method ⋮ Solving multiobjective, multiconstraint knapsack problems using mathematical programming and evolutionary algorithms ⋮ A direction based classical method to obtain complete Pareto set of multi-criteria optimization problems

Uses Software

• NBI
• SPEA2

Cites Work

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