[PDF] Top 20 Improvement of Inertia Weight Declining Strategy Based on Particle Swarm Optimization Algorithm
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Improvement of Inertia Weight Declining Strategy Based on Particle Swarm Optimization Algorithm
... improved strategy is used to maintain the balance between global search and local ...the inertia weight decreases from 0.95 to 0.4, and the inertia weight w takes a larger value in the ... See full document
5
Improved Quantum Behaved Particle Swarm Optimization
... The QPSO Improvement Based on Quantum Computing In this section, we propose a Bloch sphere-based quantum-behaved particle swarm optimization algorithm called BQPSO... The Spherical Descr[r] ... See full document
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Research on use of Nature Inspired Algorithms in Software Testing
... PSO algorithm, called Discrete Quantum Particle Swarm Optimization (QPSO), to generate test cases automatically for three benchmark programs ...also based on branch predicates in ... See full document
7
Storage planning of automated pharmacy based on an improved adaptive chaotic particle swarm optimization algorithm
... chaotic particle swarm optimization (IACPSO) algorithm was proposed to solve the storage planning ...IACPSO algorithm, the diversity of the particle swarm was enhanced by ... See full document
7
Obstacle Avoidance Strategy of Intelligent Vehicle Path Planning Based on Particle Swarm Optimization
... Genetic Algorithm [3], Ant Colony Optimization [4], Particle Swarm Optimization [5- 6], ...etc. Particle Swarm Optimization (hereinafter referred to as PSO) has ... See full document
7
A Novel Particle Swarm Optimization for Optimal Scheduling of Hydrothermal System
... an inertia weight in 1998 [22], the inertia weight method could improve the performance of algorithm, but a fixed inertia weight does not satisfy the balance between ... See full document
7
Economic Load Dispatch Using Linearly Decreasing Inertia Weight Particle Swarm Optimization
... an optimization task in power ...minimized. Particle swarm optimization (PSO) is a population- based optimization technique that can be applied to a wide range of problems but it ... See full document
6
Particle Swarm Optimization by Natural Exponent Inertia Weight for Economic load Dispatch
... heuristic optimization techniques based on operational research and artificial intelligence concepts, such as evolutionary algorithms [12-13], simulated annealing[14,15], artificial neural networks[16-18], ... See full document
6
Proposing a New Method to Improve Feature Selection with Meta Heuristic Algorithm and Chaos Theory
... for optimization contains all possible subsets of features, the size of such space is 2 d ...search algorithm for the selection of optimal feature subset is an open issue ...proposed algorithm is ... See full document
9
Hybrid Algorithm of Adaptive Inertia Weight Particle Swarm and Simulated Annealing
... different inertia weights are set for particles of different types, so as to increase the diversity of ...PSO algorithm in local searching ability, this paper adds the local searching strategy of ... See full document
6
Modified Particle Swarm Optimization Combined with Trigonometric Function and Variable Neighborhood Search
... PSO algorithm is proposed in this ...of particle swarm ...dynamic inertia weight based on the trigonometric functions of iterations is discussed, and then the dynamic ... See full document
8
OLSR Performance Improvement Using Particle Swarm Optimization Sigmoid Increasing Inertia Weight (PSOSIIW)
... Particle Swarm Optimization (PSO) is population based stochastic optimization method motivated by social behaviour of bird flocking and fish schooling ...PSO algorithm was first ... See full document
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Comparative study and implementation of multi objective pso algorithm using different inertia weight techniques for optimal control of a CSTR process
... five inertia weight strategies in Particle Swarm Optimization algorithm has been done for all the inertia weight methods considering cost functions individually and ... See full document
10
NEW MODEL TRANSFORMATION USING REQUIREMENT TRACEBILITY FROM REQUIREMENT TO UML BEHAVIORAL DESIGN
... of particle swarm optimization and neural network, this paper presents a kind of analog circuit fault diagnosis method based on particle swarm neural ...decreasing inertia ... See full document
7
Fault Detection of Liquid Propellant Rocket Engines Based on LSSVM
... the inertia weight coefficient directly affects the convergence performance of the algorithm ...the inertia weight should be that as the number of iterations increases, the ... See full document
7
Cross-layer Packet-dependant OFDM Scheduling Based on Proportional Fairness
... The impact of number of users and SNR on the system’s total rate is separately expressed in Fig.3 and Fig.4. As number of users and SNR increase, the function of multi-user density enhances, the system’s total rate of ... See full document
13
A Review on Clustering Analysis based on Optimization Algorithm for Datamining
... k-mean algorithm is used for the ...Wandering Optimization algorithm will used for finding the optimal path of ...important algorithm related to the Swarm ...used algorithm. Due ... See full document
6
A Comprehensive Survey on Variants in Artificial Bee Colony (ABC)
... modified algorithm which integrates artificial bee colony (ABC) algorithm with adaptive guidance adjusted for constrained engineering optimization ...heuristic algorithm (ABC-T) to deal with ... See full document
6
A Method Based on Particle Swarm Optimization to Retrieve the Shape of Red Blood Cells: a Preliminary Assessment
... In conclusion, we have applied the PSO algorithm to solve ILPS and retrieve the morphological profile of an RBC under investigation. In this preliminary assessment with ideal conditions and synthetic measures, the ... See full document
9
Optimizing blasting’s air overpressure prediction model using swarm intelligence
... models based on swarm intelligence (SI) algorithm; particle swarm optimization (PSO) and multi swarm optimization (MSO) were utilized to predict AOp values ... See full document
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