Title
A dynamic hybrid framework for constrained evolutionary optimization.
Abstract
Based on our previous work, this paper presents a dynamic hybrid framework, called DyHF, for solving constrained optimization problems. This framework consists of two major steps: global search model and local search model. In the global and local search models, differential evolution serves as the search engine, and Pareto dominance used in multiobjective optimization is employed to compare the individuals in the population. Unlike other existing methods, the above two steps are executed dynamically according to the feasibility proportion of the current population in this paper, with the purpose of reasonably distributing the computational resource for the global and local search during the evolution. The performance of DyHF is tested on 22 benchmark test functions. The experimental results clearly show that the overall performance of DyHF is highly competitive with that of a number of state-of-the-art approaches from the literature.
Year
DOI
Venue
2012
10.1109/TSMCB.2011.2161467
IEEE Transactions on Systems, Man, and Cybernetics, Part B
Keywords
Field
DocType
evolutionary computation,constraint-handling technique,computational resource distribution,pareto dominance,local search model,current population,search engine,search problems,optimization problem,pareto optimisation,constrained evolutionary optimization,overall performance,dynamic hybrid framework,differential evolution,local search,dynamic hybrid framework (dyhf),multiobjective optimization,global search model,mathematical model,convergence,cybernetics,benchmark testing,noise measurement,optimization
Population,Mathematical optimization,Computer science,Evolutionary computation,Differential evolution,Multi-objective optimization,Artificial intelligence,Local search (optimization),Computational resource,Machine learning,Pareto principle,Constrained optimization
Journal
Volume
Issue
ISSN
42
1
1941-0492
Citations 
PageRank 
References 
41
1.10
26
Authors
2
Name
Order
Citations
PageRank
Yong Wang159625.79
Zixing Cai2152566.96