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Population Diversity Maintenance In Brain Storm Optimization Algorithm
2014
Journal of Artificial Intelligence and Soft Computing Research
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The brain storm optimization (BSO), which is a young and promising algorithm in swarm intelligence, is based on the collective behavior of human being, that is, the brainstorming process. ...
A definition of population diversity in BSO algorithm is introduced in this paper to measure the change of solutions' distribution. ...
This is an extension from CEC 2014 conference paper "Maintaining Population Diversity in Brain Storm Optimization Algorithm" [26] . ...
doi:10.1515/jaiscr-2015-0001
fatcat:cz6zfmrfyvakzill6smojtalki
Many-objective Brain Storm Optimization Algorithm
2019
IEEE Access
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In this paper, the authors propose a novel brain storm optimization algorithm for many-objective optimization problem. ...
In recent years, many evolutionary algorithms and population-based algorithms have been developed for solving many-objective optimization problems. ...
MULTI-OBJECTIVE BRAIN STORM OPTIMIZATION MOBSO algorithm is proposed firstly in [40] . ...
doi:10.1109/access.2019.2960874
fatcat:h3w33vt2ajffpocwefzgwkhigm
Generalized pigeon-inspired optimization algorithms
2019
Science China Information Sciences
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The exploitation ability and diversity of solution maintenance ability should be enhanced for various PIO algorithms in addressing multimodal optimization or more complex engineering problems. ...
Various swarm intelligence algorithms, such as particle swarm op-timization (PSO) [1], PIO [2, 3], and brain storm optimization (BSO) [4, 5] , were proposed to solve various problems [6, 7] . ...
Supporting information Appendixes A and B give the experimental results of GPIO algorithm on solving single objective optimization problems and multimodal optimization problems, respectively. ...
doi:10.1007/s11432-018-9727-y
fatcat:vrtqhocixvfj3idszgsib75t2i
Predator–Prey Brain Storm Optimization for DC Brushless Motor
2013
IEEE transactions on magnetics
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Brain Storm Optimization (BSO) is a newly-developed swarm intelligence optimization algorithm inspired by a human being's behavior of brainstorming. ...
In this paper, a novel predator-prey BSO model, which is named Predator-prey Brain Storm Optimization (PPBSO), is proposed to solve an optimization problem modeled for a DC brushless motor. ...
Brain Storm Optimization (BSO) As presented in [9] and [10] , the process of BSO can be described as follows. ...
doi:10.1109/tmag.2013.2262296
fatcat:354tbsbtkzfrlil7a35fulclo4
Multiobjective Brain Storm Optimization Community Detection Method Based on Novelty Search
2021
Mathematical Problems in Engineering
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of diversity in complex network community detection based on multiobjective optimization algorithm and improve the accuracy of community discovery. ...
In this paper, a multiobjective brain storm optimization based on novelty search (MOBSO-NS) community detection method is proposed to solve the current issue of premature convergence caused by the loss ...
Mathematical Problems in Engineering
Brain Storm Optimization Algorithm. ...
doi:10.1155/2021/5535881
doaj:6dd4f291c14e47df96adaa9d53873912
fatcat:v3rz746d4vhy7mxw5dv3xnclyu
Robotic Brain Storm Optimization: A Multi-target Collaborative Searching Paradigm for Swarm Robotics
[article]
2021
arXiv
pre-print
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The Brain Storm Optimization (BSO) algorithm imitates a group of humans in solving problems collectively. ...
Swarm intelligence optimization algorithms can be adopted in swarm robotics for target searching tasks in a 2-D or 3-D space by treating the target signal strength as fitness values. ...
It applies the Brain Storm Optimization (BSO) algorithm [12] as the source of inspiration and aims to solve the premature problem in the multi-target collaborative searching tasks. ...
arXiv:2105.13108v1
fatcat:p7b22yufnvhyxolpddcy33ng5q
Adaptive Self-Scaling Brain-Storm Optimization via a Chaotic Search Mechanism
2021
Algorithms
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Brain-storm optimization (BSO), which is a population-based optimization algorithm, exhibits a poor search performance, premature convergence, and a high probability of falling into local optima. ...
other optimization algorithms. ...
Brain-Storm Optimization BSO is a swarm intelligence algorithm inspired by human brainstorming. ...
doi:10.3390/a14080239
fatcat:ofigmjtvmrc3rjeborms4aurom
An Improved Brain Storm Optimization for a Hybrid Renewable Energy System
2019
IEEE Access
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In this paper, an improved brain storm optimization (BSO) algorithm is proposed to solve the optimization problem in a hybrid renewable energy system. ...
INDEX TERMS Brain storm optimization, city block distance, K-Means method, hybrid renewable energy system. ...
TABLE 6 . 6 Optimization algorithm parameters of brain storming.
TABLE 7 . 7 Solution set. ...
doi:10.1109/access.2019.2908227
fatcat:2zhatg5c4zc3vfnglkgimzwf5u
An Improved MOEA/D Algorithm for Complex Data Analysis
2021
Wireless Communications and Mobile Computing
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Experimental results on benchmark data sets demonstrate that our proposed approach achieves global search ability and diversity in terms of the population distribution than state-of-the-art MOEA/D algorithms ...
In fact, the technology often suffers from the self-optimization issue of multiple level datasets, which is taken as a kind of multiobjective optimization problem (MOP). ...
Also, they design a multiobjective brain storm optimization algorithm to solve the model. ...
doi:10.1155/2021/6393638
fatcat:f4u36x2l2rg4jcp7eoyy32oiw4
A quarter century of particle swarm optimization
2018
Complex & Intelligent Systems
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Particle swarm optimization (PSO) is a population-based stochastic algorithm modeled on the social behaviors observed in flocking birds. ...
Over the past quarter century, the particle swarm optimization algorithm has attracted many researchers' attention. ...
/classification)Solutions with fitness values Optimization model
Brain storm optimization algorithms
Optimal solution(s)
Optimization
Adjusting
Initial solutions
Design/
Learning/
Complex ...
doi:10.1007/s40747-018-0071-2
fatcat:rajjkozus5govjy7kgnwix5edm
Swarm Intelligence Algorithm Based on Competitive Predators with Dynamic Virtual Teams
2017
Journal of Artificial Intelligence and Soft Computing Research
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The population diversity is one of the most important factors that determines the performance of the optimization algorithm. ...
A method of team size selection is proposed in DFPO-r to increase population diversity. ...
Generally, most of swarm intelligence algorithms, such as cuckoo search [36] , brain storm optimization algorithm [28] , bacterial foraging optimization algorithm [8] , focus on social collaboration ...
doi:10.1515/jaiscr-2017-0006
fatcat:eolsgxrjdve6tbf6rdidu5fhne
Dual phase evolution — a mechanism for self-organization in complex systems
[chapter]
2010
Unifying Themes in Complex Systems
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Nevertheless, many questions remain, especially about the ways in which different processes act in concert with one another. ...
. , Green & Sadedin 2005 imply that processes governing evolution in landscapes are similar to a wide range of phenomena that occur in many different contexts. ...
Other optimization algorithms incorporate phase changes in different ways. ...
doi:10.1007/978-3-540-85081-6_8
fatcat:frcz5w3w7rbilla3657yn7bwum
REVIEW OF NATURE-INSPIRED OPTIMIZATION ALGORITHMS APPLIED IN CIVIL ENGINEERING
2018
e-GFOS
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In nature, everything has reasons why it is happening exactly the way it does. Nature-inspired optimization algorithms have become a rapidly growing area of research in all areas of life. ...
aforementioned algorithms in civil engineering. ...
applications in civil engineering
Algorithm Studied problem Main findings and conclusions Origin Ant colony optimization, ACO optimal design of storm sewer networks The applicability and efficiency ...
doi:10.13167/2018.17.8
fatcat:iwi56ryacfh5vnbpbuzuykshme
Automated Maintenance Data Classification Using Recurrent Neural Network: Enhancement by Spotted Hyena-Based Whale Optimization
2020
Mathematics
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The hybridization of two algorithms, the Whale Optimization Algorithm (WOA) and Spotted Hyena Optimization (SHO), tends to produce a new algorithm—i.e., a Spotted Hyena-based Whale Optimization Algorithm ...
To utilize automated data classification in the maintenance field, a data classification model is implemented in this study based on the analysis of different mechanical maintenance data. ...
[41] suggested the Brain Storm Optimization Algorithm (BSOA) for feature selection in medical datasets. ...
doi:10.3390/math8112008
fatcat:inbdlbjgnnhcjcjhqy66jd5nqy
Nature-Inspired Algorithms Applications to Power System Optimization
2021
Aswan University Journal of Sciences and Technology
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Different Algorithms are presented for solving power system optimization problems. ...
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 ...
Algorithm Author, Reference Algorithm Author, Reference Brain Storm Optimization Shi, Yuhui. ...
doi:10.21608/aujst.2021.226479
fatcat:onicsotjlnbpbbepynluyk5wpe
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