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Hybrid parameter control approach applied to a diversity-based multi-objective memetic algorithm for frequency assignment problems

Eduardo Segredo, Ben Paechter, Emma Hart, Carlos Ignacio Gonzalez-Vila
2016 2016 IEEE Congress on Evolutionary Computation (CEC)  
In order to address the difficult issue of parameter setting within a diversity-based Multi-objective Evolutionary Algorithm (MOEA), we recently proposed a hybrid control scheme based on both Fuzzy Logic  ...  Here, we show that the hybrid control scheme generalises to other meta-heuristics by using it to adapt several parameters of a diversity-based multi-objective Memetic Algorithm (MA) applied to a Frequency  ...  parameters that specify operator selection, e.g. for crossover or selection (sometimes described as qualitative, categoric or structure parameters).  ... 
doi:10.1109/cec.2016.7743969 dblp:conf/cec/SegredoPHG16 fatcat:3wlgqvcjmnbyfge6ulrehy3eca

Literature Review on Differential Evolution Algorithm

Sadeer Fadhil Oudah, Ph.D. candidate in operations research., Prof. Dr. Hegazy Zaher, Assoc. Prof. Dr. Naglaa Ragaa Saeid Hassan, Dr. Eman Oun, Professor in mathematical statistics., Assoc. Professor in Operations Research., Doctor in Operations Research.
2021 Journal of University of Shanghai for Science and Technology  
It covers an analysis of about 142 papers of the previous work in the modifications of the algorithm including the main parameters of the classical steps of the algorithm and hybridization with other algorithms  ...  In this paper, a review and analysis is presented in order to help for future research in differential evolution algorithm.  ...  (Wu et al., 2016 )introduced a multi-population-based structure to identify an adapted collection of threemutation strategies.  ... 
doi:10.51201/jusst/21/06471 fatcat:cd4xl66asvdvro3zzbgybhntnm

Optimization of a power electronic structure for hybrid Fuel Cell/Ultracapacitors vehicle

M. Kamali-Nejad, T. Azib, G. Remy, O. Bethoux, C. Marchand
2010 2010 IEEE Vehicle Power and Propulsion Conference  
Secondly, the model-based design approach is used for the optimization, and a selection of the main components to be optimized is presented.  ...  First, a classical hybrid architecture using FC/UCs and a two-converter structure is presented.  ...  Performing a MC simulation with a large population and selecting the best points is a better way for creating an initial population for GA compared with the random creation of an initial population.  ... 
doi:10.1109/vppc.2010.5729165 fatcat:fjsiiasuarbdfm5vhbcgw4kxae

Hybrid Neuro-Fuzzy Model with Immune Training for Recognition of Objects in an Image

Mykola Korablyov, Natalia Axak, Oleksandr Fomichov, Andrii Chuprina
2020 International Conference on Information Control Systems & Technologies  
the NFC parameters and structure.  ...  It is proposed to perform NFC training based on the use of artificial immune systems by presenting all adjustable parameters in the form of a structured adaptive multiantibody, and consists in adjusting  ...  It is proposed to train the neuro-fuzzy classifier on the basis of the immune approach by adjusting its parameters and structure.  ... 
dblp:conf/icst2/KorablyovAFC20 fatcat:acwkcxtlvfaqfgestvbqrhznu4

A new design optimization framework based on immune algorithm and Taguchi's method

Ali Rıza Yıldız
2009 Computers in industry (Print)  
The new approach is based on two-stages which are (1) Taguchi's robust design approach to find appropriate interval levels of design parameters (2) Immune algorithm to generate optimal solutions using  ...  A benchmark test problem is first used to illustrate the effectiveness and efficiency of the approach.  ...  The structural layout results of the present hybrid approach using immune algorithm and robust design based on Taguchi's method for the vehicle part are given in Fig. 5 .  ... 
doi:10.1016/j.compind.2009.05.016 fatcat:rxo5okeenfae7omunaazp5tj6m

Audio Classification based on Association and Hybrid Optimization Technique

Gurdeep Singh, Shruti Aggarwal
2015 International Journal of Computer Applications  
GA is population based heuristic search method with some operator (selection, crossover, & mutation) and control parameters (Chromosome Encoding, Population Size, Maximum Generation, Selection Method,  ...  CONCLUSION This paper proposed a new classification method (O-cREAD) for multi-class audio data and this method is based on the new hybrid optimization approach to extract optimal classification rules.  ... 
doi:10.5120/21401-4412 fatcat:ol6slie5vbhh3lyi5cbcis2gly

Using Hybrid Algorithms Based on GMDH-Type Neural Networks for Solving Economic Problems

Olha Moroz
2016 International Conference on Information and Communication Technologies in Education, Research, and Industrial Applications  
for solving complex economic problems.  ...  Then known hybridization cases of GMDH-NN and certain methods of these paradigms (Genetic Algorithms, Differential Evolution, Particle Swarm Optimization, and Genetic Programming) are considered eliminating  ...  In [10] , [11] GMDH-based approach to Genetic Programming, which integrates a GP-based adaptive search of tree structures, and a local parameter tuning mechanism employing statistical search is presented  ... 
dblp:conf/icteri/Moroz16 fatcat:gybls5v4xfa55lfivqr4lwym3e

Adaptive Training of Radial Basis Function Networks Using Particle Swarm Optimization Algorithm [chapter]

Hongkai Ding, Yunshi Xiao, Jiguang Yue
2005 Lecture Notes in Computer Science  
Hoc Networks 137 Diabetic Diagnose Test Based on PPG Signal and Identification System 138 A New Adaptive fuzzy controller for DC motor Position Control 139 Optimal Feature Selection for 3D Facial Expression  ...  diseases diagnosis 159 Optimization of back-propagation neural networks architecture and parameters with a hybrid PSO/SA approach 160 A Comparison of Fuzzy Functions with LSE and TS-Fuzzy Methods in Modeling  ... 
doi:10.1007/11539087_14 fatcat:q4v4h4mr7jcm5a7stk6cu35l4e

Agent-Based Models and Platforms for Parallel Evolutionary Algorithms [chapter]

Marek Kisiel-Dorohinicki
2004 Lecture Notes in Computer Science  
Agent approach reveals possibilities of unification of various models and thus allows for the development of platforms supporting the implementation of different PEA variants.  ...  Design considerations based on AgWorld and Ant.NET projects conclude the paper.  ...  Decomposition approaches are characterised by non-global selection/mating and introduce some spatial structure of a population.  ... 
doi:10.1007/978-3-540-24688-6_84 fatcat:bdn6m5akmvglrgsafjr7q55nli

A Study on Evolutionary Algorithms and Its Applications

2022 Electrical and Automation Engineering  
Evolutionary methods are a horror-based approach to solving problems that are not easily solved in polynomial time, for example, classical NP-heart problems and take longer to complete.  ...  The population develops over time and (hopefully) identifies the best solutions.  ...  This is known as the concept of Pareto optimality Integration selection is based on traditional approaches to multi-objective optimization, in which multiple objectives are combined into one parameter  ... 
doi:10.46632/eae/1/1/1 fatcat:7so6ywbsz5hmxeezpt2tr7eqfe

A review on genetic algorithm: past, present, and future

Sourabh Katoch, Sumit Singh Chauhan, Vijay Kumar
2020 Multimedia tools and applications  
The future research directions in the area of genetic operators, fitness function and hybrid algorithms are discussed. This structured review will be helpful for research and graduate teaching.  ...  The genetic algorithms of great interest in research community are selected for analysis. This review will help the new and demanding researchers to provide the wider vision of genetic algorithms.  ...  The wrong selection of input parameters will generate inadequate encryption results. GA and its variants have been used to select the appropriate control parameters.  ... 
doi:10.1007/s11042-020-10139-6 pmid:33162782 pmcid:PMC7599983 fatcat:bg6phhszfzfbrjwazncc5p34bi

A novel filter-wrapper hybrid gene selection approach for microarray data based on multi-objective forest optimization algorithm

Babak Nouri-Moghaddam, Mehdi Ghazanfari, Mohammad Fathian
2020 Decision Science Letters  
better than that of other multi-objective gene selection approaches.  ...  Therefore, this paper presents a novel hybrid filter-wrapper solution based on the Fisher-score method and Multi-Objective Forest Optimization Algorithm (MOFOA).  ...  Goals The main purpose of this paper is to develop a gene selection multi-objective hybrid approach based on the Fisher-score filter method and FOA.  ... 
doi:10.5267/j.dsl.2020.5.006 fatcat:cpu3lpqc5bbzrlcybalmxdrrhi

Hybrid Jaya Algorithm for Solving Multi-Objective 0-1 Integer Programming Problem

2019 International Journal of Engineering and Advanced Technology  
This paper presents the Hybrid Jaya algorithm for solving Multi-objective 0-1 IPP with the use of exponential membership function.  ...  At the end, the response of the improved algorithm is compared with other reported algorithms and we found that the suggested algorithm is evenly good or better for obtaining the solution of multi-objective  ...  It precisely involve the adjustment of common control parameters like number of iterations, population size, and design variables for better results [1] , [2] .  ... 
doi:10.35940/ijeat.b4963.129219 fatcat:4l7xs55bsbdi7gzc37y7w5xz4a

A new taxonomy of global optimization algorithms

Jörg Stork, A. E. Eiben, Thomas Bartz-Beielstein
2020 Natural Computing  
AbstractSurrogate-based optimization, nature-inspired metaheuristics, and hybrid combinations have become state of the art in algorithm design for solving real-world optimization problems.  ...  Available taxonomies lack the embedding of current approaches in the larger context of this broad field.  ...  set improving, predicted, selected set best predicted based criteria for the surrogate Initialization Generation Selection Control Hill-Climber Trajectory Population Hybrid Surrogate  ... 
doi:10.1007/s11047-020-09820-4 fatcat:dparw6nuzfcypjepqelwk7wnue

Enhanced Differential Evolution Based on Adaptive Mutation and Wrapper Local Search Strategies for Global Optimization Problems

Chun-Liang Lu, Shih-Yuan Chiu, Chih-Hsu Hsu, Shi-Jim Yen
2014 Journal of Applied Research and Technology  
Meanwhile, the hybrid DE model incorporating PSOMA is used to solve different representative instances based on practical data for multi-objective FJSP verifications.  ...  To alleviate these drawbacks and enhance the performance of DE, in this paper, the hybrid framework based on the adaptive mutation and Wrapper Local Search (WLS) schemes, is proposed to improve searching  ...  For the classical DE, the setting of three control parameters: population size Np, the crossover rate Cr and the scale factor F, is very sensitive to the parameter setting and the choice of the best parameters  ... 
doi:10.1016/s1665-6423(14)71672-4 fatcat:nrcsrxxqwvbjpj3e3hy3begkfa
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