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Multi-objective optimization

Known as: Multiobjective optimisation, Non-dominated Sorting Genetic Algorithm-II, Multiobjective programming 
Multi-objective optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, multiattribute optimization… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Over the last three decades, a large number of evolutionary algorithms have been developed for solving multi-objective… 
Highly Cited
2017
Highly Cited
2017
This work proposes a new multi-objective algorithm inspired from the navigation of grass hopper swarms in nature. A mathematical… 
Highly Cited
2009
Highly Cited
2009
In this work, we present a new multi-objective particle swarm optimization algorithm (PSO) characterized by the use of a strategy… 
Review
2006
Review
2006
The success of the Particle Swarm Optimiza- tion (PSO) algorithm as a single-objective optimizer (mainly when dealing with… 
Review
2006
Review
2006
This article provides a general overview of the field now known as "evolutionary multi-objective optimization," which refers to… 
Highly Cited
2006
Highly Cited
2006
Evolutionary multi-objective optimization (EMO) methodologies have been amply applied to find a representative set of Pareto… 
Review
2006
Review
2006
This article provides a general overview of the field now known as "evolutionary multi-objective optimization," which refers to… 
Review
2004
Review
2004
A survey of current continuous nonlinear multi-objective optimization (MOO) concepts and methods is presented. It consolidates… 
Highly Cited
2002
Highly Cited
2002
After adequately demonstrating the ability to solve different two-objective optimization problems, multi-objective evolutionary… 
Highly Cited
2001
Highly Cited
2001
  • K. Deb
  • 2001
  • Corpus ID: 7131045
From the Publisher: Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real…