Towards faster convergence of evolutionary multi-criterion optimization algorithms using Karush Kuhn Tucker optimality based local search

DOI10.1016/J.COR.2016.04.026zbMath1391.90541OpenAlexW2343906563MaRDI QIDQ1652178

Haitham Seada, Kalyanmoy Deb, Mohamed Abouhawwash

Publication date: 11 July 2018

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2016.04.026

zbMATH Keywords

local searchEMOKKTNSGA-III

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Nonlinear programming (90C30) Sensitivity, stability, parametric optimization (90C31) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (7)

Quantity and price competition in a differentiated triopoly: static and dynamic investigations ⋮ Optimality conditions for fuzzy optimization problems under granular convexity concept ⋮ Two classes of granular solutions and related optimality conditions for interval type-2 fuzzy optimization ⋮ A stopping criterion for multi-objective optimization evolutionary algorithms ⋮ Proximity measures based on KKT points for constrained multi-objective optimization ⋮ A smooth proximity measure for optimality in multi-objective optimization using Benson's method ⋮ Non-dominated Sorting Based Multi/Many-Objective Optimization: Two Decades of Research and Application

Uses Software

• SPEA2

Cites Work

• Stochastic method for the solution of unconstrained vector optimization problems
• DEMORS: A hybrid multi-objective optimization algorithm using differential evolution and rough set theory for constrained problems
• Trade-off analysis approach for interactive nonlinear multiobjective optimization
• Approximate KKT points and a proximity measure for termination
• On sequential optimality conditions for smooth constrained optimization
• Genetic local search for multi-objective combinatorial optimization
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