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Premature convergence
In genetic algorithms, the term of premature convergence means that a population for an optimization problem converged too early, resulting in being…
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Related topics
Related topics
9 relations
CMA-ES
Convergence (evolutionary computing)
Crossover (genetic algorithm)
Evolutionary computation
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Papers overview
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2017
2017
Selecting Parameters of an Improved Doubly Regularized Support Vector Machine based on Chaotic Particle Swarm Optimization Algorithm
Chuandong Qin
,
Zhenxia Xue
,
Quanxi Feng
,
Xiaoyan Huang
Journal of universal computer science (Online)
2017
Corpus ID: 31849780
Taking full advantages of the L1-norm support vector machine and the L2-norm support vector machine, a new improved double…
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2016
2016
Improving the Bees Algorithm for Complex Optimisation Problems
Sameh Otri
2016
Corpus ID: 59730038
An improved swarm-based optimisation algorithm from the Bees Algorithm family for solving complex optimisation problems is…
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2015
2015
Multiobjective Cloud Particle Optimization Algorithm Based on Decomposition
Wei Li
,
Lei Wang
,
Qiaoyong Jiang
,
Xinhong Hei
,
Bin Wang
Algorithms
2015
Corpus ID: 30213854
The multiobjective evolutionary algorithm based on decomposition (MOEA/D) has received attention from researchers in recent years…
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2014
2014
PERFORMANCE ANALYSIS OF OPTIMIZATION TECHNIQUES FOR MEDICAL IMAGE RETRIEVAL 1
M. N. Renukadevi
2014
Corpus ID: 16466775
The computer-aided diagnosis systems (CAD) are wide ly used for clinical diagnosis and treatment. Content-based image retrieval…
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2013
2013
Improving the Performance of Genetic Algorithm by Reducing the Population Size
V. Raja
,
Murali Bhaskaran
2013
Corpus ID: 16012627
Generally, in the search process, the entire population is considered in identifying the best population using Genetic Algorithm…
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2009
2009
An Improved Immune Genetic Algorithm for Distribution Network Reconfiguration
Chao-xue Wang
,
An-jun Zhao
,
Hui-li Dong
,
Zhi-jie Li
International Conference on Information…
2009
Corpus ID: 8805260
On the basis of analyzing the insufficiency of genetic algorithm in the solution of distribution network reconfiguration, an…
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2009
2009
Computer-aided optimization in operation planning of hydropower plants: Algorithms and examples
M. Nikola
,
D. Divac
,
D. Vukosavić
,
V. Dejan
,
Milivojević Vladimir
2009
Corpus ID: 7381621
Due to complex relations present in hydropower markets, and having in mind the specific role of hydropower in common electricity…
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2006
2006
Diversity Enhancing Mechanisms for Evolutionary Optimization in Static and Dynamic Environments
D. Zaharie
,
Flavia Zamfirache
2006
Corpus ID: 10731179
The population diversity is an important issue in evolutionary optimization, playing the main role in exploring the search space…
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2002
2002
STUDS MATING IMMIGRANTS IN EVOLUTIONARY ALGORITHM TO SOLVE THE EARLINESS-TARDINESS SCHEDULING PROBLEM
D. Pandolfi
,
G. Vilanova
,
M. Pedro
,
A. Villagra
,
R. Gallard
Cybernetics and systems
2002
Corpus ID: 205505426
Current trends in manufacturing are focused on just-in-time production which emphasizes policies discouraging earliness as well…
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1998
1998
Sub-population policies for a parallel multiobjective genetic algorithm with applications to wing design
D. Quagliarella
,
A. Vicini
SMC'98 Conference Proceedings. IEEE…
1998
Corpus ID: 16012514
A parallel multi-objective genetic algorithm is presented. The population selection and mating phase is kept distinct from the…
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