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A Parallel Evolutionary System for Multi-objective Optimisation
Mohammad Hamdan
, Gunter Rudolph
, Nicola Hochstrate
School of Mathematical & Computer Sciences
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
3
Citations (Scopus)
Overview
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Computer Science
Evolutionary Algorithm
100%
Multi-Objective Optimization
100%
Optimization Problem
50%
Search Space
50%
Multiobjective
50%
Parallelization
50%
Independent Algorithm
50%
Starting Point
50%
Experimental Result
50%
Pareto Optimal Set
50%
Engineering
Multiobjective Optimization
100%
Pareto Front
100%
Experimental Result
50%
Reasonable Time
50%
Multiobjective Optimization Problem
50%
Metrics
50%
Pareto Optimal Set
50%
Starting Point
50%
Search Space
50%
INIS
partition
100%
optimization
100%
genetic algorithms
66%
approximations
33%
solutions
33%
algorithms
33%
space
33%
convergence
33%
metrics
33%