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Improved genetic operators for structural engineering optimization
J. P B Leite, B. H V Topping
School of Engineering & Physical Sciences
Research output
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Contribution to journal
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Article
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peer-review
68
Citations (Scopus)
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INIS
engineering
100%
optimization
100%
genetic algorithms
100%
genetics
100%
convergence
27%
power
27%
applications
18%
design
18%
speed
18%
populations
9%
exploration
9%
solutions
9%
implementation
9%
gain
9%
algorithms
9%
modifications
9%
range
9%
efficiency
9%
guidelines
9%
space
9%
transformations
9%
constraints
9%
maps
9%
recombination
9%
balances
9%
conferences
9%
refining
9%
proceedings
9%
adaptive systems
9%
Computer Science
Genetic Algorithm
100%
Genetic Operator
100%
Structural Design
100%
Optimization Problem
18%
Optimization Technique
9%
Speed-up
9%
Traditional Method
9%
Selection Pressure
9%
Speed Convergence
9%
Combinatorial Problem
9%
Inspired Algorithm
9%
Adaptive System
9%
Engineering
Genetic Algorithm
100%
Structural Design
100%
Optimisation Problem
18%
Engineering
18%
Applicability
9%
Inspired Algorithm
9%
Design Space
9%
Applied Pressure
9%
Limitations
9%
Optimization Technique
9%
Adaptive System
9%
Mathematics
Genetic Algorithm
100%
Genetic Operator
100%
Exploratory
18%
Transformation Method
9%
Combinatorial Problem
9%
Adaptive System
9%
Speed Convergence
9%
Chemical Engineering
Adaptive System
100%