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Automatic differentiation based for particle swarm optimization Steepest descent direction

Aris Thobirin, Iwan Tri Riyadi Yanto
2015 IJAIN (International Journal of Advances in Intelligent Informatics)  
Particle swam optimization (PSO) is one of the most effective optimization methods to find the global optimum point.  ...  The combination of both methods is promising and interesting to get the method with effective global search capability and efficient local search capability.  ...  If the local method of steepest descent direction can be added to the global search of the particle swarm optimization, a useful optimization method with good global search capability and efficient local  ... 
doi:10.26555/ijain.v1i2.29 fatcat:h55voccqonb2npuwos7vx77fje

Incremental Particle Swarm-Guided Local Search for Continuous Optimization [chapter]

Marco A. Montes de Oca, Ken Van den Enden, Thomas Stützle
2008 Lecture Notes in Computer Science  
The local search procedure provides rapid convergence to good solutions while the particle swarm algorithm enables a comprehensive exploration of the search space.  ...  In practical terms, the algorithm is a hybrid between a local search procedure and a particle swarm optimization algorithm with growing population size.  ...  Whenever a new particle is added, the particle that serves as model to imitate is the best of the swarm. 3. A hybrid particle swarm optimization algorithm with local search (la-beled PSOLS).  ... 
doi:10.1007/978-3-540-88439-2_6 fatcat:jpe4mitipzgatffetg2tuvrcri

Comparative Analysis of Particle Swarm Optimization Based Routing Protocols for MANET and VANET

Geetika Sharma, Anupam Mittal
2018 International Journal of Trend in Scientific Research and Development  
The purpose of the research is to compare particle swarm optimization based routing algorithms used in MANET and VANET.  ...  Swarm intelligence based routing algorithm will more promising for specific nature of adscenarios/constraints/environmental conditions and will tune and simulate to get an efficient and effective routing  ...  The particles fly in the swarm to search their best solution based on experience of their own and the other particles of the same swarm.  ... 
doi:10.31142/ijtsrd15874 fatcat:7boijc2mhbc2xno2j2pqow756y

Application of Improved Discrete Particle Swarm Optimization in Logistics Distribution Routing Problem

Chengming Qi
2011 Procedia Engineering  
An improved discrete particle swarm optimization (DPSO), a variant of PSO, combined with iterated local search (ILS) method is proposed.  ...  Particle swarm optimization (PSO) is an evolutionary metaheuristic inspired by the flocking behavior of birds, which has successfully been used to solve several kinds of problems.  ...  Conclusion In this paper, an improved discrete particle swarm optimizer with iterated local search was introduced to improve the performance.  ... 
doi:10.1016/j.proeng.2011.08.688 fatcat:65qzge2ejfeixhl6lbyu276o34

Elastic Impedance Inversion Based on Improved Particle Swarm Optimization

Jin Zhang, Yao Wang, Bing Xu, Qing Zhen, Yijie Wu
2018 Journal of Physics, Conference Series  
We propose an improved particle swarm optimization by adding simulated annealing, which enhances the efficiency and feasibility of the algorithm.  ...  Particle Swarm Optimization has the advantages of fast convergence, simple programming and less parameters, therefore it has been widely used in solving the problems of continuous function optimization  ...  Acknowledgements We would like to acknowledge the sponsorship of the National Key Research and Development Program of China (2017YFC0307401) for funding this research.  ... 
doi:10.1088/1742-6596/1069/1/012042 fatcat:k2cd2y2zybhejcuajgcsrimyrm

A Filtering Mechanism Based Optimization for Particle Swarm Optimization Algorithm

Ji Weidong, Zhu Songyu
2016 International Journal of u- and e- Service, Science and Technology  
This paper proposes a new particle swarm algorithm improvement program, introduced the particle swarm optimization algorithm to update them.  ...  Particle swarm optimization algorithm is one of the most common algorithms for optimization. Because of the code is simple convenient operation, and good robustness advantages of attention.  ...  So the global optimal particle swarm optimization algorithm easily plunged into local optimum. The Local particle swarm optimization algorithm is better at species diversity.  ... 
doi:10.14257/ijunesst.2016.9.1.20 fatcat:km3u52ldb5etnb22l5kdcj2xsm

Application of Chaotic Particle Swarm Optimization in Wavelet Neural Network

Cuijie Zhao, Guozhen Wang
2014 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
search ability, which may end up with local optimism.  ...  At present, the improvement of particle swarm optimization mainly includes: first, introducing a variety of mechanism into the particle swarm optimization to study various of improved PSO;  ...  Second, taking the result gained by the first stage as the center, conducting further in-depth local search by adding slight perturbations, until the termination standard is met, among which, the added  ... 
doi:10.12928/telkomnika.v12i4.533 fatcat:fsw5wmft2ff5fj367hltj6v2je

A Survey Paper on Particle Swarm Optimization based Routing Protocols in Mobile Ad-Hoc Networks

Shruti Dixit, Rakesh Singhai
2015 International Journal of Computer Applications  
The purpose of the research is to apply swarm intelligence on routing algorithms used in MANET.  ...  Swarm intelligence based routing algorithm will more promising for specific nature of ad-hoc networks and will outperform in real scenarios/constraints/environmental conditions and will tune and simulate  ...  [18] The ability of Particle Swarm Optimization (PSO), heuristic technique for search of optimal solutions based on the concept of swarm.  ... 
doi:10.5120/21100-3812 fatcat:rmuc46q6unhl5kvpgduambywu4

Particles Swarm Optimization Techniques , Principle, Comparison , Application

P. Sanyasi Naidu et al., P. Sanyasi Naidu et al.,
2018 International Journal of Computer Science Engineering and Information Technology Research  
Particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality.  ...  The particles move in the search space with considering its own velocity and position called as pbest, but pbest has the tendency to flow around the local optima.  ...  Additionally, the cognition only model is used to encourage the local search of the particles.  ... 
doi:10.24247/ijcseitrjun20185 fatcat:qttqobtxcrahhg7fkpxhsmgcku

Analog Circuit Fault Diagnosis Approach Based on Improved Particle Swarm Optimization Algorithm

Ming-Fang WANG, Jie WANG, Xue-Jun ZHAO, Xiu-Jiu YUAN
2014 Sensors & Transducers  
The application of the improved particle swarm optimization algorithm to power supply system fault diagnosis is analyzed in accordance with problem of the algorithm, and migration strategy is added to  ...  particle swarm optimization algorithm.  ...  The Improved Particle Swarm Optimization Algorithm Based on Migration Ideology To solve the local optimum problem of the standard particle swarm optimization algorithm, migration strategy is added to the  ... 
doaj:11a7cfad38824a459131ae2b12bd08c5 fatcat:brrhhgicm5fxzjw2ptwwucebpq

Quality Evaluation of Ranunculaceae Essential Oil with the Artificial Neural Network

Xiaoxia Wang, Muhammad Arif
2022 Security and Communication Networks  
The basic improvement idea is to add a dynamic random position transformation to the particle, so that global optimization ability can be enhanced.  ...  The results verify that improved PSO has better optimization ability. (2) Replace training algorithm in the BP network with the IPSO and construct the BP network algorithm model of IPSO.  ...  PSO. e basic idea of particle swarm optimization algorithm is to use the collective intelligence of the population to perform a global search and compare the local optimal solutions according to the fitness  ... 
doi:10.1155/2022/3856775 fatcat:ynlxr2k45jc5npx5x2tktvpjh4

Dynamic Multi-objective Optimization of Chemical Process Based on Bare Bones Particle Swarm Optimization

Wei Gong, Yuhui Su
2018 Chemical Engineering Transactions  
To this end, the dynamic multi-objective optimization of chemical process based on bare bones particle swarm optimization (BBPSO) was studied in this paper.  ...  On this basis, the algorithm was improved in terms of its search performance. Then, the constraint treatment method was designed and used for simulation experiments.  ...  The ability of particles to explore the unknown solution space is strong. As the algorithm continues to move, the inertia weight value decreases, and the algorithm tends to local search.  ... 
doi:10.3303/cet1871136 doaj:a739026a007e4d91b12a78830c151690 fatcat:534uczqi3vchnnz43ojhg2pnku

Research on Cloud Computing Resource Scheduling Based on PSO-MC Algorithm

Xu Zhe -jun
2015 International Journal of Grid and Distributed Computing  
local parts so as to gradually search the optimal solution in inter-membrane communication.  ...  Based on the disadvantages of the traditional particle swarm optimization, this paper introduces a membrane computing theory, and proposes a particle swarm optimization based on the membrane computing  ...  In the basic membrane, send the optimal solution of local particle swarm to the surface membrane and find the global optimal solution by adopting the method of global search.  ... 
doi:10.14257/ijgdc.2015.8.4.15 fatcat:j2reoju2snfg3m4c4s37avhqju

Modified Particle Swarm Optimization with novel modulated inertia for velocity update

Abdul Hadi Hamdan, Fazida Hanim Hashim, Abdullah Zawawi Mohamed, W. M. Diyana W. Zaki, Aini Hussain
2016 International Journal of Engineering and Technology  
Particle swarm optimization (PSO) is a population-based stochastic search algorithm for searching the optimal regions from multidimensional space, inspired by the social behaviour of some animal species  ...  To verify the proposed modified PSO, experiments were conducted on several benchmark optimization problems.  ...  In [9] , the author added differential evolution (DE) mutation operator to the accelerated particle swarm optimization (APSO) algorithm to solve numerical optimization problems so as to speed up convergence  ... 
doi:10.21817/ijet/2016/v8i4/160804011 fatcat:mfh5otwq7jfyxho7n7qcuq5lnq

The Precise Positioning Algorithm Optimization Base on PSO-PF for Agricultural Machinery Navigation System

Zhang Yan, Hu Jingtao
2019 Journal of Physics, Conference Series  
The algorithm combines the advantages of particle filter and the global and local searching ability of particle swarm optimization, which modifies the particle weight and accelerates the particle convergence  ...  on optimizing particle update mode by adding advantage and disadvantage.  ...  The formula ( 5 ) and (6) of particle swarm optimization are used to update the particle search to the best position step by step, so that all particles are close to the best position to search for the  ... 
doi:10.1088/1742-6596/1213/4/042068 fatcat:sgofdrmg7bblvox5lwaz2kb6ru
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