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A Reward Population-Based Differential Genetic Harmony Search Algorithm

Yang Zhang, Jiacheng Li, Lei Li
2022 Algorithms  
, differential genetic harmony algorithm, and reward population-based differential genetic harmony search algorithm.  ...  To overcome the shortcomings of the harmony search algorithm, such as its slow convergence rate and poor global search ability, a reward population-based differential genetic harmony search algorithm is  ...  In this paper, a reward population-based differential genetic harmony search algorithm (RDEGA-HS) is proposed.  ... 
doi:10.3390/a15010023 fatcat:fq5byyuoznclteojjm3srkdzwm

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  
In this paper, a review and analysis is presented in order to help for future research in differential evolution algorithm.  ...  Differential evolution algorithm is one of the most efficient metaheuristic approaches.  ...  . 6% Cuckoo search algorithm. 12% Bat Algorithm. 9% Firefly's Algorithm. 6% Harmony search Algorithm. 6% Simulated annealing Algorithm. 6% Genetic Algorithm.  ... 
doi:10.51201/jusst/21/06471 fatcat:cd4xl66asvdvro3zzbgybhntnm

Optimization Techniques for Engineering Design

Dr. Kailash Chaudhary
2017 International Journal for Research in Applied Science and Engineering Technology  
This paper discusses the popular evolutionary optimization technique, Genetic Algorithm (GA)and Teaching-learningbased Optimization (TLBO) algorithm.  ...  principles and start with a set of solutions known as the population to search the optimum solution through parallel computing.Thus, it is advantageous to use these techniques to find the global optimum  ...  This hybridized algorithm (HGA) combines a genetic algorithm and a local concentration search algorithm using a modified simplex method.  ... 
doi:10.22214/ijraset.2017.11137 fatcat:h4tm5ask45aj3cwcooqh7cphne

Solving Nonlinear Equations Systems with an Enhanced Reinforcement Learning Based Differential Evolution

Zuowen Liao, Shuijia Li
2022 Complex System Modeling and Simulation  
Nonlinear equations systems (NESs) arise in a wide range of domains. Solving NESs requires the algorithm to locate multiple roots simultaneously.  ...  To deal with NESs efficiently, this study presents an enhanced reinforcement learning based differential evolution with the following major characteristics: (1) the design of state function uses the information  ...  In I-HS, the repulsion-based and re-initialization methods enhanced the population diversity, and harmony search was employed as a heuristic search algorithm to find the optima.  ... 
doi:10.23919/csms.2022.0003 fatcat:icogoabzpnht5ljtx5dlmwapvq

A Heuristics-based Home Energy Management System for Demand Response [article]

Hafiz Majid Hussain, Pedro H. J. Nardelli
2020 arXiv   pre-print
We then employ and compare two well-known heuristics, the genetic algorithm (GA) and the harmony search algorithm (HSA), to minimize electricity expense and peak to average ratio.  ...  Our solution differentiates residential loads into two categories: (i) fixed power appliances and (ii) flexible ones.  ...  The stopping criteria is maximum number of population size, and the allocation is the best candidate that satisfies the objective function. 2) Harmony Search Algorithm (HSA) : is a popular meta heuristic  ... 
arXiv:2004.07873v1 fatcat:6iolopoauffutd7xcbl4lznd6e

Nature-Inspired Algorithms Applications to Power System Optimization

2021 Aswan University Journal of Sciences and Technology  
Nature-inspired algorithms are still at a very early stage with a relatively short history, it has come up as a new era in comparing with many traditional methods; however, natureinspire algorithms have  ...  Different Algorithms are presented for solving power system optimization problems.  ...  Harmony search is a music-based metaheuristic optimization algorithm. It was inspired by the observation that the aim of music is to search for a perfect state of harmony.  ... 
doi:10.21608/aujst.2021.226479 fatcat:onicsotjlnbpbbepynluyk5wpe

Multi-objective optimization and visualization for analog design automation

Abhaya Chandra Kammara, Lingaselvan Palanichamy, Andreas König
2016 Complex & Intelligent Systems  
For Miller, buffer, and folded-cascode, a cascade of harmony search and particle swarm optimization on SVR, ngspice, and cadence simulators was found to be roughly 4 times, 2.5 times, and 2.5 times faster  ...  includes function approximators and simulators trained by proven evolutionary optimization algorithms, as well as a novel domain-specific visualization of the optimization space and the trajectory of  ...  creativecomm ons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a  ... 
doi:10.1007/s40747-016-0027-3 fatcat:gcgm2qbjkzekflf5ybqegzjo74

Spectrum allocation in cognitive radio networks using chaotic biogeography-based optimisation

Thomas I. Tegou, Antonios Tsiflikiotis, Dimitrios D. Vergados, Katherine Siakavara, Spiros Nikolaidis, Sotirios K. Goudos, Panagiotis Sarigiannidis, Mohammad Obaidat
2018 IET Networks  
Chaotic biogeographybased optimisation (CBBO) is a recently proposed evolutionary algorithm that can be applied to the above-mentioned problem.  ...  Cognitive radio networks are a promising technology for the improvement of the spectrum utilisation.  ...  In [15] , a binary harmony search algorithm is used, while the authors in [16] [17] [18] apply a chemical reaction optimisation (CRO) algorithm for solving the same problem.  ... 
doi:10.1049/iet-net.2017.0264 fatcat:5yicsxx745arrjlzqw672kx3nm

Incorporating characteristics of human creativity into an evolutionary art algorithm

Steve R. DiPaola, Liane Gabora
2007 Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation - GECCO '07  
The goal is to evolve abstract portraits of Darwin, using our 2 nd generation fitness function which rewards genomes that not just produce a likeness of Darwin but exhibit certain strategies characteristic  ...  As an example of a step in this direction, we present an algorithm that overcomes the above limitation by employing an automatic fitness function.  ...  ACKNOWLEDGEMENTS We would like to thank Laurence Ashmore, Peter Bentley, Julian Miller and James Walker for their correspondence as well as Ashmore and Miller for their initial Java-based system that we  ... 
doi:10.1145/1274000.1274009 dblp:conf/gecco/DiPaolaG07 fatcat:avynvmtqqfechmewcmrqjwazwm

Incorporating characteristics of human creativity into an evolutionary art algorithm

Steve DiPaola, Liane Gabora
2008 Genetic Programming and Evolvable Machines  
The goal is to evolve abstract portraits of Darwin, using our 2 nd generation fitness function which rewards genomes that not just produce a likeness of Darwin but exhibit certain strategies characteristic  ...  As an example of a step in this direction, we present an algorithm that overcomes the above limitation by employing an automatic fitness function.  ...  ACKNOWLEDGEMENTS We would like to thank Laurence Ashmore, Peter Bentley, Julian Miller and James Walker for their correspondence as well as Ashmore and Miller for their initial Java-based system that we  ... 
doi:10.1007/s10710-008-9074-x fatcat:ji7l6jjcr5alfp22jjspsdlswy

Efficient Task Scheduling of Virtual Machines using Novel Spectral Partitioning and Differential Evaluation Algorithm

Anwar Shaheen, Sundar kumar
2022 International journal of advances in soft computing and its applications  
It includes a series of steps in which a Laplacian matrix is computed initially. Then based on the Eigen-values and Eigen-vectors of the Laplacian matrix the tasks are partitioned.  ...  Keywords: Cloud computing environment, Virtual Machines, Task Scheduling, Novel Spectral Partitioning and Differential Evaluation Algorithm.  ...  This paper (Pradeep & Jacob, 2018 ) introduced a hybrid CHSA (Cuckoo Harmony Search Algorithm) to enhance the optimization. The algorithms are efficiently integrated to perform process-scheduling.  ... 
doi:10.15849/ijasca.220328.11 fatcat:3ynkrqlgkrfhtprjhxxkanpp6a

Application of an evolutionary algorithm-based ensemble model to job-shop scheduling

Choo Jun Tan, Siew Chin Neoh, Chee Peng Lim, Samer Hanoun, Wai Peng Wong, Chu Kong Loo, Li Zhang, Saeid Nahavandi
2017 Journal of Intelligent Manufacturing  
The method is used in a single-objective jobshop scheduling problem for evolving dispatch rules, whereby the results show the effectiveness of the genetic programming-based method over hybrid genetic algorithm  ...  Specifically, a modified micro genetic algorithm (MmGA) is used as the building block to formulate an ensemble model to undertake multi-objective optimisation problems in job-shop scheduling.  ...  [67] . 2016 Discrete harmony search algorithm Minimising the makespan of machine and the mean of earliness and tardiness [22] .  ... 
doi:10.1007/s10845-016-1291-1 fatcat:etynw7ww5rhzrmd6nstryulyw4

Incorporating characteristics of human creativity into an evolutionary art algorithm [article]

Steve DiPaola, Liane Gabora
2019 arXiv   pre-print
The goal is to evolve abstract portraits of Darwin, using our 2nd generation fitness function which rewards genomes that not just produce a likeness of Darwin but exhibit certain strategies characteristic  ...  As an example of a step in this direction, we present an algorithm that overcomes the above limitation by employing an automatic fitness function.  ...  Acknowledgements We would like to thank Laurence Ashmore, Peter Bentley, Julian Miller, and James Walker for their correspondence, as well as Ashmore and Miller for their initial Java-based system that  ... 
arXiv:1001.1401v2 fatcat:5kkmnal6bbc4fgnkk25bvngqni

A comparative review of approaches to prevent premature convergence in GA

Hari Mohan Pandey, Ankit Chaudhary, Deepti Mehrotra
2014 Applied Soft Computing  
A comparison of reviewed literature has been made based on different parameters.  ...  This paper surveys strategies applied to avoid premature convergence in Genetic Algorithms (GAs). Genetic Algorithm belongs to the set of nature inspired algorithms.  ...  Introduction Genetic Algorithms (GAs) are search and optimization algorithms based on natural selection and genetics.  ... 
doi:10.1016/j.asoc.2014.08.025 fatcat:jindzmw2xngvlhgqnujqxm43pu

Table of Contents

2020 2020 IEEE Symposium Series on Computational Intelligence (SSCI)  
, Chair: Mohammed El-Abd Seyedali Mirjalili Island-based Modified Harmony Search Algorithm with Neighboring Heuristics Methods for Flow Shop Scheduling with Blocking Iyad Abu Doush, Mohammed Azmi Al-Betar  ...  David Gregg .......... 753 xxii NICE1: Nature-Inspired Computation in Engineering, Chair: Joao Paulo Papa Xin-She Yang A Comparative Evaluation of Population-based Optimization Algorithms for Workflow  ... 
doi:10.1109/ssci47803.2020.9308155 fatcat:hyargfnk4vevpnooatlovxm4li
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