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Jisuanji Gongcheng / Computer Engineering, ISSN 1000-3428, 03/2015, Volume 41, Issue 3, pp. 182 - 185
The traditional interactive Genetic Algorithm (GA) can make user fatigue on optimizing the implicit performance index which affects the optimization quality... 
Mutations | Searching | Evolutionary | Interactive | Optimization | Crossovers | Convergence | Genetic algorithms
Journal Article
Expert Systems With Applications, ISSN 0957-4174, 12/2018, Volume 113, pp. 515 - 530
The Gravitational Search Algorithm (GSA) has excellent performance in solving various optimization problems. However, it has been demonstrated that GSA tends... 
Exploration and exploitation | Differential evolution | Gravitational search algorithm | Crossover and mutation operation | Self-adaptive mechanism | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | PERFORMANCE | GLOBAL OPTIMIZATION | PSO | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
2016 IEEE Congress on Evolutionary Computation (CEC), 07/2016, pp. 2114 - 2121
In this paper we propose a Genetic Algorithm-based clustering technique called GMC that produces high-quality chromosomes in the initial population. The... 
genetic algorithm | probabilistic selection | Absorption | crossover operation | Sociology | Probabilistic logic | clustering | Complexity theory | Statistics | k-means algorithm | Biological cells | Genetic algorithms | Crossover operation | K-means algorithm | Probabilistic selection | Clustering | Genetic algorithm
Conference Proceeding
Optik, ISSN 0030-4026, 10/2016, Volume 127, Issue 20, pp. 9974 - 9983
Open-chain robots simulating human upper extremity have been developed to perform various tasks, and trajectory optimization significantly affects the... 
Visualized trajectory | Interior point method | Crossover and mutation operation | Particle swarm optimization | Robot motion planning | INTERIOR-POINT METHOD | OPTIMIZATION | MANIPULATORS | OPTICS | OBSTACLES | Algorithms | Analysis | Robots | Force and energy
Journal Article
by Li, Ye and Chen, Yan
Journal of Software, ISSN 1796-217X, 03/2010, Volume 5, Issue 3, pp. 269 - 274
Journal Article
by Zhi, H and Liu, SY
INTELLIGENT AUTOMATION AND SOFT COMPUTING, ISSN 1079-8587, 12/2019, Volume 25, Issue 4, pp. 815 - 825
Journal Article
Proceedings of the 2015 Annual Conference on genetic and evolutionary computation, 07/2015, pp. 209 - 216
A common problem in the diagnosis of epilepsy is the volatile and unpredictable nature of the epileptic seizures. Hence, it is essential to develop Automatic... 
epilepsy | hill climbing search | mutation | crossover | genetic programming | fitness function | Fitness function | Mutation | Crossover | Hill climbing search | Epilepsy | Genetic programming
Conference Proceeding
Knowledge-Based Systems, ISSN 0950-7051, 03/2018, Volume 144, pp. 153 - 173
Journal Article
Advances in Intelligent Systems and Computing, ISSN 2194-5357, 2018, Volume 562, pp. 63 - 72
Conference Proceeding
Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, ISSN 1000-6893, 09/2018, Volume 39, Issue 9
Journal Article
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), ISSN 1671-4512, 2014, Volume 42, Issue 2, pp. 21 - 25
For the high dimension, complex nonlinear characteristic and instantaneity in solving optimal load allocation of economical operation under a condition of... 
Hydropower station | Mutation operation | Crossover operation | Solution space | Inner-plant economical operation | Simulated annealing | Economics | Load distribution (forces) | Algorithms | Swarm intelligence | Hydroelectric power stations | Optimization | Convergence
Journal Article
Applied Mechanics and Materials, ISSN 1660-9336, 08/2014, Volume 602-605, Issue Advanced Manufacturing and Information Engineering, Intelligent Instrumentation and Industry Development, pp. 3585 - 3588
To efficiently enhance the global search and local search of Differential Evolution algorithm ( DE), A modified differential evolution algorithm (MDE) is... 
Mutation operation | Crossover operation | Convergence | MDE | Mutations | Algorithms | Searching | Mathematical analysis | Strategy | Evolutionary algorithms | Optimization
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2016, Volume 9576, pp. 38 - 47
Conference Proceeding
Advances in Mechanical Engineering, ISSN 1687-8132, 8/2016, Volume 8, Issue 8, pp. 1 - 9
Journal Article
Applied Mechanics and Materials, ISSN 1660-9336, 09/2013, Volume 415, Issue Automatic Control and Mechatronic Engineering II, pp. 349 - 352
Differential evolution (DE) is a population-based stochastic function minimizer (or maximizer), whose simple yet powerful and straightforward features make it... 
Mutation operation | Dynamic | IDE | Convergence | Algorithms | Computer simulation | Searching | Evolutionary algorithms | Scaling factors | Optimization | Crossovers
Journal Article
AIP Conference Proceedings, ISSN 0094-243X, 2009, Volume 1146, pp. 177 - 185
Conference Proceeding
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