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Novel frameworks for creating robust multi-objective benchmark problems
Seyedali Mirjalili
, Andrew Lewis
Research output
:
Contribution to journal
›
Article
›
peer-review
22
Citations (Scopus)
Overview
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Dive into the research topics of 'Novel frameworks for creating robust multi-objective benchmark problems'. Together they form a unique fingerprint.
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Mathematics
Benchmark
100%
Test Problems
77%
Framework
58%
Multi-objective Evolutionary Algorithm
35%
Particle Swarm Optimization
32%
Metaheuristics
28%
Multi-objective Optimization
27%
Testbed
16%
Sorting algorithm
16%
Benchmarking
15%
Robust Tests
15%
Process Optimization
15%
Multiple Objectives
15%
Robust Optimization
15%
Decompose
14%
Performance
13%
Genetic Algorithm
12%
Ensemble
11%
Uncertainty
9%
Optimization
8%
Standards
6%
Business & Economics
Benchmark
77%
Particle Swarm Optimization
29%
Evolutionary Algorithms
27%
Metaheuristics
26%
Decomposition
25%
Genetic Algorithm
16%
Robust Tests
15%
Robust Optimization
14%
Process Optimization
14%
Multiple Objectives
13%
Sorting
11%
Benchmarking
10%
Performance
8%
Uncertainty
6%
Engineering & Materials Science
Evolutionary algorithms
62%
Particle swarm optimization (PSO)
56%
Decomposition
49%
Benchmarking
35%
Sorting
33%
Genetic algorithms
24%
Uncertainty
21%