Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 238,216,775 papers from all fields of science
Search
Sign In
Create Free Account
Premature convergence
In genetic algorithms, the term of premature convergence means that a population for an optimization problem converged too early, resulting in being…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
9 relations
CMA-ES
Convergence (evolutionary computing)
Crossover (genetic algorithm)
Evolutionary computation
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
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…
Expand
2015
2015
Modeling and Optimization of Food Cold-chain Intelligent Logistics Distribution Network
Su-Da Jiang
,
Su Hu
,
Su-Tian Liang
,
S. Chen
2015
Corpus ID: 2034758
Aiming at improving the efficiency of food cold-chain logistics network, shortening the logistic time of food and reducing the…
Expand
2015
2015
A NOVEL WEIGHT-IMPROVED PARTICLE SWARM OPTIMIZATION FOR COMBINED ECONOMIC AND EMISSION DISPATCH PROBLEMS
Bhuvnesh Khokhar
,
K. P. Singh Parmar
2015
Corpus ID: 12382237
This paper presents a weight improved particle swarm optimization (WIPSO) strategy for solving the combined economic and emission…
Expand
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…
Expand
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…
Expand
2013
2013
Analysis of takeover time and convergence rate for harmony search with novel selection methods
Iyad Abu Doush
,
M. Al-Betar
,
A. Khader
,
Mohammed A. Awadallah
,
Ashraf Bany-Mohammed
Int. J. Math. Model. Numer. Optimisation
2013
Corpus ID: 15782006
Recently, common selection schemes used in harmony search algorithm (HSA) are altered in memory consideration operation to…
Expand
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…
Expand
2005
2005
Bit Level Versus Gene Level Crossover in a Traffic Modeling Environment
Javier Sánchez
,
M. Galán
,
E. Rubio
International Conference on Computational…
2005
Corpus ID: 18346603
During a couple of years we have dealt with the traffic lights optimization problem. We have designed a scalable and flexible…
Expand
2002
2002
STUDS MATING IMMIGRANTS IN EVOLUTIONARY ALGORITHM TO SOLVE THE EARLINESS-TARDINESS SCHEDULING PROBLEM
D. Pandolfi
,
G. Vilanova
,
Maria E. De San 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…
Expand
1998
1998
Sub-population policies for a parallel multiobjective genetic algorithm with applications to wing design
Domenico 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…
Expand