On the convergence of multiobjective evolutionary algorithms

DOI10.1016/S0377-2217(98)00262-8zbMath0937.90096MaRDI QIDQ1806943

Thomas Hanne

Publication date: 8 November 1999

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

zbMATH Keywords

convergenceevolutionary algorithmsstochastic searchmulti-criteria analysis\(\varepsilon\)-efficient solutionselection mechanism

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29)

Related Items (17)

Convergence analysis of a self-adaptive multi-objective evolutionary algorithm based on grids ⋮ On the convergence of adaptive stochastic search methods for constrained and multi-objective black-box optimization ⋮ A multiobjective evolutionary algorithm for approximating the efficient set ⋮ Compromise rank genetic programming for automated nonlinear design of disaster management ⋮ Explicit multiobjective model predictive control for nonlinear systems under uncertainty ⋮ Convergence of multi-objective evolutionary algorithms to a uniformly distributed representation of the Pareto front ⋮ Convergence of stochastic search algorithms to finite size Pareto set approximations ⋮ An analysis on recombination in multi-objective evolutionary optimization ⋮ Decentralized Cooperative Optimization for Multi-criteria Decision Making ⋮ On convergence of the multi-objective particle swarm optimizers ⋮ Stochastic convergence of random search methods to fixed size Pareto front approximations ⋮ Convergence of set-based multi-objective optimization, indicators and deteriorative cycles ⋮ A stopping criterion for multi-objective optimization evolutionary algorithms ⋮ A non-dominance-based online stopping criterion for multi-objective evolutionary algorithms ⋮ On Utilizing Infeasibility in Multiobjective Evolutionary Algorithms ⋮ Multi-objective simultaneous optimistic optimization ⋮ A multiobjective evolutionary algorithm for scheduling and inspection planning in software development projects

Uses Software

• LOOPS

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Simulation of steady states in dissipative systems by Darwin's paradigm of evolution
• Theory of multiobjective optimization
• On efficient sets in vector maximum problems - A brief survey
• A survey of vector optimization in infinite-dimensional spaces. II
• A general method for determining the set of all efficient solutions to a linear vectormaximum problem
• A survey of multicriteria optimization or the vector maximum problem. I: 1776-1960
• On several concepts for \(\varepsilon\)-efficiency
• Cone convexity, cone extreme points, and nondominated solutions in decision problems with multiobjectives
• Global multiobjective optimization using evolutionary algorithms
• Scalarization in vector optimization
• On the Convergence of Statistical Search

This page was built for publication: On the convergence of multiobjective evolutionary algorithms