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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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Related topics

Related topics

47 relations
Agent-based modelBenson's algorithmBenson's algorithm (Go)Cluster analysis

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
A Multi-Objective Optimization Scheduling Method Based on the Ant Colony Algorithm in Cloud Computing
For task-scheduling problems in cloud computing, a multi-objective optimization method is proposed here. First, with an aim… 
Highly Cited
2010
Highly Cited
2010
Multi-Objective Optimization Design of In-Wheel Switched Reluctance Motors in Electric Vehicles
The method of the optimization design with multi-objectives for switched reluctance motors (SRMs) in electric vehicles (EVs) is… 
Highly Cited
2006
Highly Cited
2006
Reference point based multi-objective optimization using evolutionary algorithms
Evolutionary multi-objective optimization (EMO) methodologies have been amply applied to find a representative set of Pareto… 
Highly Cited
2006
Highly Cited
2006
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms… 
Highly Cited
2006
Highly Cited
2006
Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion
In our previous work conducted by Aimin Zhou et. al., (2005), it has been shown that the performance of multi-objective… 
Highly Cited
2006
Highly Cited
2006
Multi-Objective Genetic Algorithms for Vehicle Routing Problem with Time Windows
The Vehicle Routing Problem with Time windows (VRPTW) is an extension of the capacity constrained Vehicle Routing Problem (VRP… 
Highly Cited
2003
Highly Cited
2003
Performance Scaling of Multi-objective Evolutionary Algorithms
MOEAs are getting immense popularity in the recent past, mainly because of their ability to find a wide spread of Pareto-optimal… 
Review
2001
Review
2001
Evolutionary Algorithms for Multi-Objective Optimization: Performance Assessments and Comparisons
Evolutionary techniques for multi-objective(MO) optimization are currently gainingsignificant attention from researchers… 
Highly Cited
2001
Highly Cited
2001
Dynamic Weighted Aggregation for evolutionary multi-objective optimization: why does it work and how?
Evolutionary Dynamic Weighted Aggregation (EDWA) has shown to be both effective and computationally efficient [1] for multi… 
Highly Cited
1996
Highly Cited
1996
Multi-objective genetic local search algorithm
Proposes a hybrid algorithm for finding a set of non-dominated solutions of a multi-objective optimization problem. In the… 
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