Filters








80,356 Hits in 5.2 sec

Adaptive genetic algorithm based on density distribution of population

Ni Chen, Jun Zhang, Ou Liu
2012 Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion - GECCO Companion '12  
Most existing parameter control mechanisms are based on either individual fitness or positional distribution of population.  ...  This paper proposes a parameter adaptation strategy which aims at evaluating the density distribution of population as well as both the fitness values comprehensively, and adapting the parameters accordingly  ...  The second group of adaptation strategies adjust the parameters based on positional distribution of the population [8] [10]- [12] .  ... 
doi:10.1145/2330784.2331039 dblp:conf/gecco/ChenZL12 fatcat:mo5h5tl5hngffkliufgdcocb2e

Fuzzy Adaptive PBIL based sensor placement in Wireless Sensor Networks

Shirin Khezri, Mohammad Reza Meybodi, Amjad Osmani
2011 2011 International Symposium on Computer Networks and Distributed Systems (CNDS)  
In this paper, a Fuzzy Adaptive Population-Based Incremental Learning algorithm (FAPBIL) is presented based on analyzing the characteristics of traditional PBIL algorithm.  ...  Overcoming disadvantages of traditional PBIL algorithm, the proposed FAPBIL algorithm can adjust learning rate and mutation probability automatically according to the evolution degree of the algorithm's  ...  RELATED WORK In [15] a set of Stochastic Heuristic Algorithms based on population is presented as Distribution Estimation Algorithm in which they don't need smooth search space and complicated differential  ... 
doi:10.1109/cnds.2011.5764576 fatcat:jryqcqzxojbv3j7nevygmz7pyu

Self-adaptive hybrid genetic algorithm using an ant-based algorithm

Tarek A. El-Mihoub, Adrian Hopgood, Ibrahim A. Aref
2014 2014 IEEE International Symposium on Robotics and Manufacturing Automation (ROMA)  
In this paper, a novel form of hybridization between an ant-based algorithm and a genetic-local hybrid algorithm is proposed.  ...  The problem of achieving an optimal utilization of a hybrid genetic algorithm search time is actually a problem of finding its optimal set of control parameters.  ...  The second set is based on the ability of the genetic algorithms to adapt the control parameters of other techniques.  ... 
doi:10.1109/roma.2014.7295881 fatcat:lsymjyogpjestigimdj52f2cnu

Nonlinear fitness–space–structure adaptation and principal component analysis in genetic algorithms: an application to x-ray reflectivity analysis

J Tiilikainen, J-M Tilli, V Bosund, M Mattila, T Hakkarainen, V-M Airaksinen, H Lipsanen
2006 Journal of Physics D: Applied Physics  
The nonlinear adaptation applies nonlinear estimates to reshape the probability distribution of the trial parameters.  ...  Principal component analysis based on Hessian or interparameter covariance matrices is used to rotate a coordinate frame.  ...  Finally, a new population is created using the principle of XGA in novel algorithms. All implementations of the algorithms presented in this paper were based on the code of CGA.  ... 
doi:10.1088/0022-3727/40/1/017 fatcat:56jzurlmsvejfitbmmqjc363ju

OPTIMAL GENETIC ALGORITHM SELECTION FOR DEEP NEURAL NETWORK SETTINGS

O. I. Chumachenko, M. O. Liubachenko
2020 Electronics and Control Systems  
At the first stage of the algorithm, a multicriteria genetic algorithm is selected from a set of possible ones (genetic algorithm of vector estimation, genetic algorithm of Fonseca and Fleming, genetic  ...  algorithm of Pareto approximation with niche, genetic algorithm of sorting without dominance, genetic algorithm of Pareto force, genetic algorithm of Pareto-2 force ) that best fits the given training  ...  SPEA-2 Preservation of boundary solutions Difficulty in calculating fitness Adaptability is based on Pareto strength (dominant solutions). The density is based on the method of k-nearest neighbors.  ... 
doi:10.18372/1990-5548.66.15222 fatcat:z62xmqh6pvglvlbgppxoisubka

Research of Niching Genetic Algorithms for Optimization in Electromagnetics

Feng Ye, Weimin Qi, Jie Xiao
2011 Procedia Engineering  
The algorithm is based on the adaptive mutation operator and crossover operator that adjusts the crossover rate and frequency of mutation of each individual, and adopts the gradient of the individual to  ...  In order to avoid the shortcomings, an adaptive niche hierarchy genetic algorithm(ANHGA) is proposed.  ...  Conclusion In this paper, niche technology and hierarchy genetic algorithm are combined and adaptive niche hierarchy GA based on sharing and crowding thought is put forward in this paper.  ... 
doi:10.1016/j.proeng.2011.08.1099 fatcat:i2k6obpp7nfa3ehk4bgceemk6q

Genetic Algorithm with an Improved Initial Population Technique for Automatic Clustering of Low-Dimensional Data

Xiangbing Zhou, Fang Miao, Hongjiang Ma
2018 Information  
GGA (Group genetic algorithm) [19] in the initial population developed a GA-based clustering algorithm with a new grouping method.  ...  The authors in [4] presented fast density clustering strategies based on K-means, which could enhance the scalability of the fast search and find the density peaks, while maintaining its clustering results  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/info9040101 fatcat:zxv4xfhp3rcwlokfzdst7ofgcy

A Genetic-algorithm-based Weighted Clustering Algorithm in MANET

Hua Yang, Zhi-mei Li
2017 International Journal of Future Generation Communication and Networking  
For the above objectives, this paper proposes a clustering algorithm based on genetic algorithm.  ...  This paper conducts the research on WCA algorithm and nodes parameters, and introduces GA-WCA based on improving WCA by Genetic algorithm.  ...  Weighted Clustering Algorithm WCA is an on-demand, distributed, weight-based MANET clustering algorithm.  ... 
doi:10.14257/ijfgcn.2017.10.3.04 fatcat:szj2kdqwsrc2hkbhpeg6b2r4vy

Education Teaching Evaluation Method Aided by Adaptive Genetic Programming and Robust Scheduling

Zhuo Sun, Shuang Zhang, Mairu Liu, Gengxin Sun
2022 Mathematical Problems in Engineering  
This paper analyzes the process mining based on genetic programming and proposes process individuals based on tree structure.  ...  In this paper, the process complexity is combined with the process mining algorithm based on genetic programming, and a measure of process structural complexity is proposed, which is converted into complexity  ...  Acknowledgments anks are due to the support on the Sports and Health Management Research Academic Team of Wuhan Business University.  ... 
doi:10.1155/2022/2245666 fatcat:4s2gvcjgvrdmziwkdilkgzpmsy

An Effective Genetic Algorithm for Outlier Detection

P.Vishnu Raja, Dr.V.Murali Bhaskaran
2012 International Journal of Computer Applications  
The result analysis is done on some standard dataset to view accuracy of the algorithm.  ...  In this paper we are proposing an algorithm to detect outliers using genetic algorithm. The proposed method was exceptionally accurate in identifying the outliers the datasets that we have tested.  ...  Many approaches have been proposed to detect or identify the outliers based on density based, distance based, distribution based and clustering based approaches.  ... 
doi:10.5120/4614-6836 fatcat:ft7vtxw2pfam7ajexn7ci26v4q

An evolutionary algorithm for the estimation of threshold vector error correction models

Makram El-Shagi
2011 International Economics and Economic Policy  
Depending on the precise problem structure the evolutionary approach developed in the present paper for this purpose saves 90 to 99 per cent of the computation time of a grid search.  ...  We develop an evolutionary algorithm to estimate Threshold Vector Error Correction models (TVECM) with more than two cointegrated variables.  ...  based adaption of the mutation size.  ... 
doi:10.1007/s10368-011-0180-5 fatcat:5sq76b3c2necfhkfexkliwd4ma

Sector Synthesis of Antenna Array Using Genetic Algorithm

A. A. Abdelaziz, H. A. Kamal
2008 Frequenz  
This paper introduces a new application of genetic algorithm (GA) in dynamic sector synthesis of antenna array for mobile base transceiver station (BTS).  ...  The proposed algorithm consists of the simple GA with new adaptive mutation mechanism. When compared with simple GA, the proposed algorithm shows faster convergence.  ...  Another approach for load balancing is to use the This algorithm has a new adaptive mutation genetic algorithm [6, 7, 8] .  ... 
doi:10.1515/freq.2008.62.1-2.12 fatcat:l5nyqhjzvvg3hn5j6selukk7tq

Adaptive approximate Bayesian computation

M. A. Beaumont, J.-M. Cornuet, J.-M. Marin, C. P. Robert
2009 Biometrika  
When applied to a population genetics example, it compares favourably with two other versions of the approximate algorithm.  ...  An alternative version based on genuine importance sampling arguments bypasses this difficulty, in connection with the population Monte Carlo method of Cappe et al. (2004), and it includes an automatic  ...  Helpful comments from the editorial board of Biometrika and from O. Cappé are also gratefully acknowledged.  ... 
doi:10.1093/biomet/asp052 fatcat:atzdxxkhdbhn5e2nh673qfqufy

Adaptive Multiple Importance Sampling [article]

Jean-Marie Cornuet, Jean-Michel Marin (I3M, Montpellier), Antonietta Mira, Christian P. Robert
2011 arXiv   pre-print
Although the convergence properties of the algorithm cannot be fully investigated, we demonstrate through a challenging banana shape target distribution and a population genetics example that the improvement  ...  The Adaptive Multiple Importance Sampling (AMIS) algorithm is aimed at an optimal recycling of past simulations in an iterated importance sampling scheme.  ...  Acknowledgements The authors are grateful to many colleagues for helpful discussions on the convergence properties of the AMIS algorithm, in particular to Olivier Cappé, Pierre Del Moral, Randal Douc,  ... 
arXiv:0907.1254v5 fatcat:dkya63h5nvhwvmmxbwtz2awljm

The Pareto fitness genetic algorithm: Test function study

Semya Elaoud, Taicir Loukil, Jacques Teghem
2007 European Journal of Operational Research  
We propose a Pareto fitness genetic algorithm (PFGA) in which we introduce a modified ranking procedure and a promising way of sharing; a new fitness function based on the rank of the individual and its  ...  The methods of fitness assignment are mainly based on the information about the dominance relation between individuals.  ...  sorting genetic algorithm (NSGA) where the rank of each individual is based on the rank of the front to which it belongs.  ... 
doi:10.1016/j.ejor.2005.10.018 fatcat:6ccen5yuvrdbtikxmtl44fskwy
« Previous Showing results 1 — 15 out of 80,356 results