Generalized multiobjective evolutionary algorithm guided by descent directions

DOI10.1007/s10852-014-9255-yzbMath1305.65150OpenAlexW1992625870MaRDI QIDQ483246

Lino Costa, Isabel Espírito Santo, Roman Denysiuk

Publication date: 16 December 2014

Published in: Journal of Mathematical Modelling and Algorithms in Operations Research (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/1822/36997

zbMATH Keywords

numerical examplesmultiobjective optimizationperformance assessmentmultiobjective evolutionary algorithmsstochastic research

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Multi-objective and goal programming (90C29) Stochastic programming (90C15)

Related Items

Generalized multiobjective evolutionary algorithm guided by descent directions ⋮ DDMOA2

Uses Software

• PISA
• jMetal
• MSOPS-II

Cites Work

• A new hybrid evolutionary multiobjective algorithm guided by descent directions
• Generalized multiobjective evolutionary algorithm guided by descent directions
• On finding multiple Pareto-optimal solutions using classical and evolutionary generating methods
• A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 special session on real parameter optimization
• Nonlinear multiobjective optimization
• On Latin hypercube sampling
• Evolution strategies. A comprehensive introduction
• On the Convergence of Pattern Search Algorithms
• Evolutionary Algorithms for Solving Multi-Objective Problems
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Generalized multiobjective evolutionary algorithm guided by descent directions