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## Genetic Local Search Algorithm with Self- Adaptive Population Resizing for Solving Global Optimization Problems

### Citations

332 | Evolutionary programming made faster,”
- Yao, Liu
- 1999
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Citation Context ...LEP (Adaptive Levy Evolutionary programming)s[22].sThis algorithm uses evolutionary programming withsadaptive Levy mutation in order to generate a newsoffspring.s FEP (Fast Evolutionary programming) =-=[23]-=-.sThis algorithm uses evolutionary programming withsCauchy mutation to generate a new offspring for eachsgeneration.s OGA/Q (Orthogonal Genetic Algorithm withsQuantization) [24].sThis algorithm uses ... |

185 | Genetic algorithms for real parameter optimization,
- Wright
- 1991
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Citation Context ...ssover an offspring selectionsmechanism is applied, which chooses the two mostspromising offspring of the three to substitute their parentssin the population. GLSASAPR uses linear crossoversoperation =-=[21]-=- as defined in the following procedure.sGenetic Local Search Algorithm with Self-Adaptive Population Resizing for Solving Global Optimization Problems 53sCopyright © 2014 MECSsI.J. Information Enginee... |

115 | A Tutorial for Competent Memetic Algorithms: Model, Taxonomy, and Design Issues,
- Krasnogor, Smith
- 2005
(Show Context)
Citation Context ...l and the local search,swhich improves the efficiency of searches [2]. ManysMAs have been applied to numerical optimizationsproblems, such as a hybrid genetic algorithm with localssearch (GA-LS) [3], =-=[4]-=-, [5], differential evolution withslocal search (DE-LS) [2], [6], [7], particle swarmsoptimization with local search (PSO-LS) [8], [9], [10],sand evolutionary programming with local search (EP-LS)s[11... |

64 | Evolutionary programming using mutations based on the Lévy probability distribution.
- Lee, Yao
- 2004
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Citation Context ...ctionsgenerations increases.sC.sGLSASAPR and other AlgorithmssGLSASAPR algorithm has been compared with thesfollowing eight relevant genetic algorithmss ALEP (Adaptive Levy Evolutionary programming)s=-=[22]-=-.sThis algorithm uses evolutionary programming withsadaptive Levy mutation in order to generate a newsoffspring.s FEP (Fast Evolutionary programming) [23].sThis algorithm uses evolutionary programmin... |

62 | Large scale evolutionary optimization using cooperative coevolution,”
- Yang, Tang, et al.
- 2008
(Show Context)
Citation Context ...example [13], [14], [15], [16] . Insthe literature, some efforts have been made to solvesunconstrained global optimization problems, e.g., GeneticsAlgorithms (GAs) [10], Evolutionary Algorithms (EAs)s=-=[17]-=-, Tabu Search (TS) [18], Artificial Immune Systems(AISs) [19], Ant-Colony-based Algorithm [20]. In thisspaper, we propose a new hybrid GA and local searchsalgorithm, which is called a Genetic Local Se... |

55 |
An orthogonal genetic algorithm with quantization for global numerical optimization
- Leung, Wang
- 2001
(Show Context)
Citation Context ...utionary programming) [23].sThis algorithm uses evolutionary programming withsCauchy mutation to generate a new offspring for eachsgeneration.s OGA/Q (Orthogonal Genetic Algorithm withsQuantization) =-=[24]-=-.sThis algorithm uses an orthogonal design to constructscrossover operator.s M-L (Mean-value-Level-set) [25].sThis algorithm tries to improve the mean of thesobjective function value on the level set... |

53 |
Accelerating differential evolution using an adaptive local search,”
- Noman, Iba
- 2008
(Show Context)
Citation Context ...s [2]. ManysMAs have been applied to numerical optimizationsproblems, such as a hybrid genetic algorithm with localssearch (GA-LS) [3], [4], [5], differential evolution withslocal search (DE-LS) [2], =-=[6]-=-, [7], particle swarmsoptimization with local search (PSO-LS) [8], [9], [10],sand evolutionary programming with local search (EP-LS)s[11]. Genetic algorithms (GAs) [12] are a very popularsclass of EAs... |

30 |
Hybrid Taguchigenetic algorithm for global numerical optimization,”
- Tsai, Liu, et al.
- 2004
(Show Context)
Citation Context ...ue on the level set.s CGA-TS (Conventional Genetic Algorithm and TabusSearch).sThis algorithm is a hybrid algorithm betweensConventional GA and TS algorithm.s HTGA(Hybrid Taguchi Genetic Algorithm) =-=[26]-=-.sThis algorithm is a hybrid algorithm that combiningsthe Taguchi method and a genetic algorithm.s LEA (Level-set Evolutionary Algorithm) [9].sThis algorithm is a level set evolutionary algorithmsfor... |

29 |
A Multiagent Genetic Algorithm for Global Numerical Optimization”,
- Zhong, Liu, et al.
- 2004
(Show Context)
Citation Context ...as a hybrid genetic algorithm with localssearch (GA-LS) [3], [4], [5], differential evolution withslocal search (DE-LS) [2], [6], [7], particle swarmsoptimization with local search (PSO-LS) [8], [9], =-=[10]-=-,sand evolutionary programming with local search (EP-LS)s[11]. Genetic algorithms (GAs) [12] are a very popularsclass of EAs, they are the most studied population basedsalgorithms. They are successful... |

27 |
An effective PSObased memetic algorithm for flow shop scheduling,”
- Liu, Wang, et al.
- 2007
(Show Context)
Citation Context ...ems, such as a hybrid genetic algorithm with localssearch (GA-LS) [3], [4], [5], differential evolution withslocal search (DE-LS) [2], [6], [7], particle swarmsoptimization with local search (PSO-LS) =-=[8]-=-, [9], [10],sand evolutionary programming with local search (EP-LS)s[11]. Genetic algorithms (GAs) [12] are a very popularsclass of EAs, they are the most studied population basedsalgorithms. They are... |

20 |
Combining a fuzzy optimal model with a genetic algorithm to solve multi-objective rainfallrunoff model calibration
- Cheng, Ou, et al.
(Show Context)
Citation Context ...arch algorithm.sI.sINTRODUCTIONsEvolutionary algorithms (EAs) are stochasticspopulation based meta-heuristics (P meta-heuristics) thatshave been successfully applied to many real and complexsproblems =-=[1]-=-. Combining EAs with the local search (LS)salgorithm is called memetic algorithms (MAs), which aresused in order to be speeded up the exploring process insthe search space and to avoid the premature c... |

14 |
Scale factor local search in differential evolution, Memetic Computing 1 (2
- Neri, Tirronen
- 2009
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Citation Context ...lution so far. A successful MA is an algorithmscomposed of several well-coordinated components with asproper balance between the global and the local search,swhich improves the efficiency of searches =-=[2]-=-. ManysMAs have been applied to numerical optimizationsproblems, such as a hybrid genetic algorithm with localssearch (GA-LS) [3], [4], [5], differential evolution withslocal search (DE-LS) [2], [6], ... |

10 |
An evolutionary algorithm for global optimization based on level-set evolution and Latin squares
- Wang, Dang
- 2007
(Show Context)
Citation Context ...such as a hybrid genetic algorithm with localssearch (GA-LS) [3], [4], [5], differential evolution withslocal search (DE-LS) [2], [6], [7], particle swarmsoptimization with local search (PSO-LS) [8], =-=[9]-=-, [10],sand evolutionary programming with local search (EP-LS)s[11]. Genetic algorithms (GAs) [12] are a very popularsclass of EAs, they are the most studied population basedsalgorithms. They are succ... |

6 |
High dimensional function optimization using a new genetic local search suitable for parallel computers
- Kimura, Konagaya
- 2003
(Show Context)
Citation Context ...global and the local search,swhich improves the efficiency of searches [2]. ManysMAs have been applied to numerical optimizationsproblems, such as a hybrid genetic algorithm with localssearch (GA-LS) =-=[3]-=-, [4], [5], differential evolution withslocal search (DE-LS) [2], [6], [7], particle swarmsoptimization with local search (PSO-LS) [8], [9], [10],sand evolutionary programming with local search (EP-LS... |

5 |
A memetic differential evolution in filter design for defect detection in paper production,”
- Tirronen, Neri, et al.
- 2007
(Show Context)
Citation Context .... ManysMAs have been applied to numerical optimizationsproblems, such as a hybrid genetic algorithm with localssearch (GA-LS) [3], [4], [5], differential evolution withslocal search (DE-LS) [2], [6], =-=[7]-=-, particle swarmsoptimization with local search (PSO-LS) [8], [9], [10],sand evolutionary programming with local search (EP-LS)s[11]. Genetic algorithms (GAs) [12] are a very popularsclass of EAs, the... |

5 |
Local search operators in fast evolutionary programming, in
- Birru, Chellapilla, et al.
(Show Context)
Citation Context ...[4], [5], differential evolution withslocal search (DE-LS) [2], [6], [7], particle swarmsoptimization with local search (PSO-LS) [8], [9], [10],sand evolutionary programming with local search (EP-LS)s=-=[11]-=-. Genetic algorithms (GAs) [12] are a very popularsclass of EAs, they are the most studied population basedsalgorithms. They are successful in solving difficultsoptimization problems in various domain... |

4 |
Baldwinian learning in clonal selection algorithm for optimization
- Gong, Jiao, et al.
(Show Context)
Citation Context ...rts have been made to solvesunconstrained global optimization problems, e.g., GeneticsAlgorithms (GAs) [10], Evolutionary Algorithms (EAs)s[17], Tabu Search (TS) [18], Artificial Immune Systems(AISs) =-=[19]-=-, Ant-Colony-based Algorithm [20]. In thisspaper, we propose a new hybrid GA and local searchsalgorithm, which is called a Genetic Local SearchsAlgorithm with Self-Adaptive Population Resizings(GLSASA... |

3 | Memetic algorithm with local search chaining for large scale continuous optimization problems
- Molina, Lozano, et al.
- 2009
(Show Context)
Citation Context ... the local search,swhich improves the efficiency of searches [2]. ManysMAs have been applied to numerical optimizationsproblems, such as a hybrid genetic algorithm with localssearch (GA-LS) [3], [4], =-=[5]-=-, differential evolution withslocal search (DE-LS) [2], [6], [7], particle swarmsoptimization with local search (PSO-LS) [8], [9], [10],sand evolutionary programming with local search (EP-LS)s[11]. Ge... |

2 |
Integral global optimization: Theory, implementation and application
- Hong, Quan
- 1988
(Show Context)
Citation Context ...ew offspring for eachsgeneration.s OGA/Q (Orthogonal Genetic Algorithm withsQuantization) [24].sThis algorithm uses an orthogonal design to constructscrossover operator.s M-L (Mean-value-Level-set) =-=[25]-=-.sThis algorithm tries to improve the mean of thesobjective function value on the level set.s CGA-TS (Conventional Genetic Algorithm and TabusSearch).sThis algorithm is a hybrid algorithm betweensCon... |

2 |
A novel hybrid genetic algorithm with Tabu search for optimizing multi-dimensional functions and point pattern recognition
- Garai, Chaudhurii
- 2013
(Show Context)
Citation Context ... algorithm.s LEA (Level-set Evolutionary Algorithm) [9].sThis algorithm is a level set evolutionary algorithmsfor global optimization with Latin squares.s H-CAGA (Hybrid CAscaded Genetic Algorithm) =-=[27]-=-sThis algorithm combines a global search geneticsalgorithm in a course to fine resolution space with aslocal Tabu search algorithmsTable 2: Experimental results of GLSASAPR for f1(x) - f15(x) withsdim... |

1 |
AE Hassanien, Minimizing molecular potential energy function using genetic Nelder-Mead algorithm
- Ali
- 2013
(Show Context)
Citation Context ...tinuous orscombinatorial optimization, system modeling andsidentification, planning and control, engineering design,sdata mining and machine learning, artificial life,sBioinformatics) see for example =-=[13]-=-, [14], [15], [16] . Insthe literature, some efforts have been made to solvesunconstrained global optimization problems, e.g., GeneticsAlgorithms (GAs) [10], Evolutionary Algorithms (EAs)s[17], Tabu S... |

1 |
Genetic algorithem and tabu search based methods for molecular 3D-structure prediction
- Hedar, Ali, et al.
- 2011
(Show Context)
Citation Context ...ombinatorial optimization, system modeling andsidentification, planning and control, engineering design,sdata mining and machine learning, artificial life,sBioinformatics) see for example [13], [14], =-=[15]-=-, [16] . Insthe literature, some efforts have been made to solvesunconstrained global optimization problems, e.g., GeneticsAlgorithms (GAs) [10], Evolutionary Algorithms (EAs)s[17], Tabu Search (TS) [... |

1 |
Finding the 3Dstructure of a molecule using genetic algorithm and tabu search methods
- Hedar, Ali, et al.
- 2010
(Show Context)
Citation Context ...torial optimization, system modeling andsidentification, planning and control, engineering design,sdata mining and machine learning, artificial life,sBioinformatics) see for example [13], [14], [15], =-=[16]-=- . Insthe literature, some efforts have been made to solvesunconstrained global optimization problems, e.g., GeneticsAlgorithms (GAs) [10], Evolutionary Algorithms (EAs)s[17], Tabu Search (TS) [18], A... |

1 |
Tabu search with multi-level neighborhood structures for high dimensional problems. Genetic Local Search Algorithm with Self-Adaptive Population Resizing for Solving Global Optimization
- Hedar, Ali
- 2012
(Show Context)
Citation Context ...], [16] . Insthe literature, some efforts have been made to solvesunconstrained global optimization problems, e.g., GeneticsAlgorithms (GAs) [10], Evolutionary Algorithms (EAs)s[17], Tabu Search (TS) =-=[18]-=-, Artificial Immune Systems(AISs) [19], Ant-Colony-based Algorithm [20]. In thisspaper, we propose a new hybrid GA and local searchsalgorithm, which is called a Genetic Local SearchsAlgorithm with Sel... |

1 |
The differential antstigmergy algorithm
- Sec
- 2012
(Show Context)
Citation Context ...strained global optimization problems, e.g., GeneticsAlgorithms (GAs) [10], Evolutionary Algorithms (EAs)s[17], Tabu Search (TS) [18], Artificial Immune Systems(AISs) [19], Ant-Colony-based Algorithm =-=[20]-=-. In thisspaper, we propose a new hybrid GA and local searchsalgorithm, which is called a Genetic Local SearchsAlgorithm with Self-Adaptive Population Resizings(GLSASAPR). Our goal is to construct an ... |