[PDF] Top 20 NEW BINARY PARTICLE SWARM OPTIMIZATION WITH IMMUNITY-CLONAL ALGORITHM
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NEW BINARY PARTICLE SWARM OPTIMIZATION WITH IMMUNITY-CLONAL ALGORITHM
... Particle Swarm Optimization used to solve a continuous problem and has been shown to perform well however, binary version still has some ...a new technique called New ... See full document
9
A new IPSO-SA approach for cardinality constrained portfolio optimization
... relatively new meta-heuristic approach, where its application in portfolio optimization is still limited, is particle swarm optimization ...problem with transaction costs and ... See full document
14
Power Allocation in PON-OCDMA with Improved Chaos Particle Swarm Optimization
... one with its own position and velocity ...meta-heuristic algorithm utilized in optimization problems, such as the PSO, is to obtain the trade-off between the exploration (diversification) and the ... See full document
16
A New Particle Swarm Optimization Based Stock Market Prediction Technique
... coupled with advances in trading technology has opened up the markets so that nowadays nearly anybody can own stocks, and use many types of software to achieve the aspired profit with minimum ...research. ... See full document
6
Breaking of Simplified Data Encryption Standard Using Binary Particle Swarm Optimization
... evolutionary algorithm has gained so much interest in last few ...of Binary Particle Swarm Optimization with bit change mutation operator for cryptanalysis of S-DES and then ... See full document
7
LOW COMPLEXITY CONSTRAINTS FOR ENERGY AND PERFORMANCE MANAGEMENT OF HETEROGENEOUS MULTICORE PROCESSORS USING DYNAMIC OPTIMIZATION
... Foraging algorithm was inspired by foraging behaviour of bacteria and was proposed in (Passino, ...Foraging Optimization Algorithm (BFOA) has been widely accepted as a global optimization ... See full document
9
A Novel Efficient Forecasting of Stock Market Using Particle Swarm Optimization with Center of Mass Based Technique
... coping with stock market prediction problems is the most important applications of PSO to predict the stocks that have maximum profit with minimum ...Standard Particle Swarm ... See full document
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AN ADAPTIVE CONSTRAINT HANDLING TECHNIQUE FOR PARTICLE SWARM IN CONSTRAINED OPTIMIZATION PROBLEMS
... stochastic optimization methods based on the principles of natural biological evolution (Han & Kim, 2002) and they are commonly applied to solve real-world optimization problems (Deb et ...is ... See full document
18
Enhancing Decision Making Using Intelligent System Solution
... of optimization problems can not be defined in quantitative ...a new approach for the product mix linear programming model with simplified & standard algorithm to optimize combinatorial ... See full document
7
Particle Swarm Optimization Approach For Economic Load Dispatch: A Review
... the particle swarm algorithm and two further extensions to improve its performance after a predefined number of ...in particle swarm ...two new strategies were discussed to ... See full document
10
A New Hybrid Approach for Heterogeneous Radio Access Technology Selection
... making algorithm should be designed such that all the important characteristics of the system are taken into account when making the radio access ...a new hybrid multi objective decision making ... See full document
8
A Binary particle swarm optimization algorithm for a variant of the maximum coing problem
... Combinatorial Optimization problem, with several applications, such as facility location (including health centers, emergency vehicles and commercial bank branches) and scheduling (flexible manufacturing ... See full document
7
Transforming an Existing Distribution Network Into Autonomous MICRO-GRID using particle swarm optimization (Review)
... network with renewable and fossil-based resources can be operated as a micro- grid, in autonomous or nonautonomous ...the Particle Swarm Optimization (PSO) algorithm to solve the ... See full document
5
Reactive Power Optimization with Chaotic Firefly Algorithm and Particle Swarm Optimization in A Distribution Subsystem Network
... power optimization problem. The optimization has been performed and tested on Konya Eregli Distribution Network in Turkey, a section of Turkish electric distribution network managed by MEDAŞ (Meram ... See full document
8
Phased Array Synthesis Using Modified Particle Swarm Optimization
... (SLL) with narrow beamwidth [2], ...pattern with low SLL [2], [4]. But these methods do not provide the designer with the flexibility to set multiple design goals such as SLL, beamwidth and null ... See full document
6
J. Microw. Optoelectron. Electromagn. Appl. vol.11 número1
... a swarm size of thirty particles is good enough ...each particle is labeled as the particle’s best position, ...the particle with best fitness among the whole swarm is labeled as the ... See full document
10
Cash balance management: A comparison between genetic algorithms and particle swarm optimization=Gerenciamento do saldo de caixa: uma comparação entre algoritmos genéticos e particle swarm optimization
... e particle swarm optimization (PSO) no gerenciamento do saldo de caixa, a partir do modelo Miller-Orr, que consiste em um modelo estocástico que não define um único ponto ideal para o saldo de caixa, ... See full document
7
Pesqui. Oper. vol.33 número3
... Particularly, Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and an Ant Colony Optimization (ACO) are con- sidered for obtaining appropriate weight matrices for learning the ... See full document
23
Tuning of a Proportional-Integral-Derivative Controller using Multi-Objective Non Dominated Sorting Particle Swarm Optimization Applied to pH Control in Continuous Stirred Tank Reactor
... Sorting Particle Swarm Optimization algorithm (NSPSO) based approach is used in the design of multiobjective PID controller to find the constant proportional-integral-derivative gains for a ... See full document
6
PSO optimized Feed Forward Neural Network for offline Signature Classification
... network with complete weight and bias information, and the cost evaluation becomes more ...changes with the initial weights and biases initializes [15]. Swarm intelligence is a relatively new ... See full document
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