Adaptive Particle Swarm Optimization (APSO)
The adaptive particle swarm optimization technique for solving microseismic source location parameters
... an adaptive particle swarm optimization algorithm is proposed for microseismic source location, which is based on average flying velocity of the ...the particle swarm ...
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Identification and Prediction Using Neuro-Fuzzy Networks with Symbiotic Adaptive Particle Swarm Optimization
... In this paper, a novel symbiotic adaptive particle swarm optimization (SAPSO) that adjusts the parameters of fuzzy systems was presented. The proposed SAPSO approach allows control over the ...
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Parallel Implementation of Particle Swarm Optimization Variants Using Graphics Processing Unit Platform
... of Particle Swarm Optimization (PSO) algorithm such as Adaptive Particle Swarm Optimization (APSO) and Particle Swarm Optimization with an Aging ...
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Fusion global-local-topology particle swarm optimization for global optimization problems
... An adaptive fuzzy particle swarm optimization (AFPSO) [19] was proposed to utilize fuzzy inferences for adjusting acceleration ...an adaptive particle swarm ...
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Adaptive Particle Swarm Optimization Scheduling Model for Jobs on Cloud
... Also, an artificial bee colony algorithm was considered in [KG14]. In the study, scheduling objectives considered were quality of service (QoS), minimum total task finishing time, mean task finishing time and load ...
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An Efficient Hybrid Comparative Study Based on ACO, PSO, K Means With K Medoids for Cluster Analysis
... (fuzzy adaptive particle swarm optimization), ACO (ant colony optimization) and k-means algorithms, called FAPSO-ACO– K, which can find better cluster ...
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An adaptive hybrid optimization algorithm for multi objective security constrained OPF with facts device
... Hybrid Particle Swarm Optimization with Differential Perturbed Velocity with adaptive acceleration coefficient (APSO-DV) to examine the security constrained Multi-objective Optimal Power Flow ...
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Towards Crafting an Improved Functional Link Artificial Neural Network Based on Differential Evolution and Feature Selection
... as adaptive Particle Swarm Optimization-Back-propagation (PSO-BP) learning [13], improved swarm optimized FLANN (ISO-FLANN) Dehuri, et ...
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Cross-layer Packet-dependant OFDM Scheduling Based on Proportional Fairness
... particle swarm optimization algorithm and cloud adaptive particle swarm optimization algorithm into sub-carrier allocation in packet-dependant proportional fairness ...
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Particle Swarm Optimization for Adaptive Resource Allocation in Communication Networks
... of particle swarm optimization (PSO) technique is proposed as a low complexity method for adaptive centralized and distributed resource allocation in communication ...to adaptive ...
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Adaptive Control based Particle Swarm Optimization and Chebyshev Neural Network for Chaotic Systems
... Since the control approach for the chaotic systems was firstly proposed in [1], controlling chaotic system has become a hot research topic in nonlinear areas. Therefore, there are many approaches solving the control ...
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Survey on Swarm Intelligence Based Optimization Technique for Image Compression
... various Swarm Intelligence algorithm. Swarm Intelligence is based on the collective behaviour of self-organized ...continuous optimization problem on images like Image compression, Edge Detection, ...
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PID Neural Network Motor Synchronization Control Based on the Improved PSO Algorithm
... the adaptive mutation particle swarm optimization (PSO) algorithm was adopted to optimize its initial ...The adaptive mutation PSO-PIDNN learning algorithm of motor synchronization ...
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Storage planning of automated pharmacy based on an improved adaptive chaotic particle swarm optimization algorithm
... combinatorial optimization problems, due to the slow convergence speed and being easy to fall into local optimum of the genetic algorithm, it was urgent to explore new ways to solve optimization problems of ...
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Study on the optimization algorithm of sediment particle Imshanage
... the adaptive chaotic particle swarm river sediment of optimization algorithm is an important means of detecting the silt content of river sediment in ...the optimization by making use ...
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Radial Basis Function Neural Network Trained by Adaptive Chaotic Particle Swarm Optimization to Control Nonlinear Systems
... Despite the complexity of Plant 2 resulted from the sine and cosine functions, Fig. 3 (a) shows that the RBFNN controller managed to control this complex nonlinear plant with some overshoots and oscillations at the start ...
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Optimal Node Placement of Industrial Wireless Sensor Networks Based on Adaptive Mutation Probability Binary Particle Swarm Optimization Algorithm
... The evolutionary mechanism of AMPBPSO can be described as Fig. 3. Unlike DBPSO discarding the position updating formula and using the velocity as the probability to generate solutions, AMPBPSO reserves the original ...
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A Self-Adaptive Discrete PSO Algorithm with Heterogeneous Parameter Values for Dynamic TSP
... DPSO discrete particle swarm optimization DTSP dynamic travelling salesman problem PACO population ant colony optimization PSO particle swarm optimization TSP travelling salesman problem[r] ...
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Model Reference Adaptive Controller using MOPSO for a Non-Linear Boiler-Turbine
... Particle Swarm Optimization (PSO) is a robust stochastic optimization technique based on the movement and intelligence of ...single-objective optimization functions. In single-objective ...
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PID Controller Optimization for Rotational Inverted Pendulum System Using Particle Swarm Optimization and Differential Evolution Algorithms
... During, the past years, numerous classical, as well as, modern control approaches such as Proportional Integral Derivative (PID) (Gaing, 2004), nonlinear control (Yan, 2003), Linear Quadratic Regulator (LQR) (Zhong et ...
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