Skip to main navigation
Skip to search
Skip to main content
Aston Research Explorer Home
Help & FAQ
Home
Research units
Profiles
Research Outputs
Datasets
Student theses
Activities
Press/Media
Prizes
Equipment
Search by expertise, name or affiliation
Preference-guided evolutionary algorithms for many-objective optimization
Fillipe Goulart, Felipe Campelo
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Prizes
(1)
Fingerprint
Dive into the research topics of 'Preference-guided evolutionary algorithms for many-objective optimization'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Best Matches
100%
Competitive Results
100%
Decision Maker
100%
Evolutionary Algorithms
100%
Existing Algorithms
100%
Many-objective Evolutionary Algorithm (MaOEA)
100%
Many-objective Optimization
100%
Many-objective Optimization Problems (MaOPs)
100%
Pareto-optimal Front
100%
Preference Information
100%
Quality Criteria
100%
Search Methods
100%
Single Reference
100%
Computer Science
Decision Maker
50%
Evolutionary Algorithm
100%
Experimental Result
50%
Many-Objective Optimization
100%
multi-objective evolutionary algorithm
50%
Optimization Problem
50%
Reference Point
50%
Search Procedure
50%
Single Reference
50%