Optimization Algorithm
A Dynamic Optimization Algorithm for Supply Chain Planning
... the optimization algorithm with the objective of minimizing the overall ...the optimization algorithm it will be able to produce a good estimate of how much the operational cost will be with ...
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Robust state feedback controller design of STATCOM using chaotic optimization algorithm
... Abstract: In this paper, a new design technique for the design of robust state feedback controller for static synchronous compensator (STATCOM) using Chaotic Optimization Algorithm (COA) is presented. The ...
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Deconvolution of Neutron Degraded Images: Comparative Study between TSVD, Tikhonov Regularization and Particle Swarm Optimization Algorithm
... swarm optimization algorithm was first described in 1995 by James Kennedy and Russell ...swarm optimization is a stochastic, population- based evolutionary computer algorithm for problem ...
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A HYBRID OPTIMIZATION ALGORITHM BASED ON GENETIC ALGORITHM AND ANT COLONY OPTIMIZATION
... hybrid optimization algorithm based on GA and ACO to solve TSP is proposed and is then evaluated with some data, both random data and sample data from the library of ...new optimization method called ...
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Optimization of hole-making operations for injection mould using particle swarm optimization algorithm
... genetic algorithm, ant colony algorithm, immune algorithm (IA) ...of optimization of hole-making ...advanced optimization techniques are the implementation for genetic algorithm ...
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Design of Microwave Absorbers using Improvised Particle Swarm Optimization Algorithm
... Swarm Optimization (PSO) algorithm has been applied in electromagnetics to design microwave ...PSO algorithm has been suggested by utilizing a velocity restriction factor that intelligently searches ...
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AN OPTIMIZATION ALGORITHM BASED ON BACTERIA BEHAVIOR
... The concept of bacteria as a model for problem solving is not new. The work in [19] presents a new approach for edge detection using a combination of bacterial foraging (i.e. the behavior bacterial organisms develop to ...
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Improved Ant Colony Optimization Algorithm based Expert System on Nephrology
... Once the REPEAT-UNTIL loop is completed, the best rule among the rules constructed by all ants is added to the list of discovered rules and the system starts a new iteration of the WHILE loop, by reinitializing all ...
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A Binary particle swarm optimization algorithm for a variant of the maximum coing problem
... Based on these results, we can say that, although the initial solutions generated are of low quality and there is no repair heuristics, PSO could obtain good solutions in acceptable computational times. For 5 out of the ...
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Reactive Power Optimization with Chaotic Firefly Algorithm and Particle Swarm Optimization in A Distribution Subsystem Network
... swarm optimization. In paper [22], an improved particle swarm optimization algorithm based on multi- agent technology has been proposed to solve a reactive power optimization ...Search ...
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On the Solutions to the Travelling Salesman Problem using Nature Inspired Computing Techniques
... RFD algorithm is tested on standard benchmark functions of tsp library [26] namely Eil51 and ...proposed algorithm but as the time passes the performance of RFD becomes better than ...foraging ...
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An Improved Bees Algorithm for Real Parameter Optimization
... swarm optimization algorithm in which the swarms are regrouped frequently and the Quasi- Newton method is employed to improve the local search ...genetic algorithm with parent centric normal ...
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A New Optimization Framework To Solve The Optimal Feeder Reconfiguration And Capacitor Placement Problems
... 1 I NTRODUCTION Distribution system is a significant part of the electric power network that delivers power to the consumers. Therefore, the situation of this part will affect the power quality of the electrical services ...
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Evolutionary Design of Engineering Constructions
... Although, as it is proved above, the proposed evolution strategy allows us to obtain very good, even excellent numerical results it is necessary to mention about the influence and the role of strategy parameters, i.e. ...
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Heuristic Task Allocation Strategies for Computational Grid
... Memetic algorithm for grid task allocation [9]. The ant colony optimization algorithm is a probabilistic technique for solving NP complete ...Colony Optimization (BACO) for job scheduling in ...
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Ananalysis on Runtime Associated QOS-Based Proficient Web Services Discovery Optimization
... discovery optimization methods with unique prominence to quality motivated service discovery have been carried out in this ...inspired algorithm is a metaheuristics method that mimics the nature in order to ...
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Artificial Bee Colony with Different Mutation Schemes: A comparative study
... an optimization algorithm based on the intelligent behavior of honey bees [1, ...the optimization problem and the nectar amount of a food source corresponds to the quality (fitness) of the associated ...
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Input Frequencies Optimization Based on Genetic Algorithm for Maximal Mutual Information
... genetic algorithm (GA) offers an alternative to traditional local search ...an optimization algorithm inspired by the well-known biological processes of genetics and ...
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A Heuristic Approach for optimization of Non Linear process using Firefly Algorithm and Bacterial Foraging Algorithm
... Genetic Algorithm [4], Bacterial Foraging Optimization [5] Particle Swam Optimization [6], Artificial bee colony optimization [7], Cuckoo search [8], Bat algorithm [9], Firefly ...
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Multi-Objective Optimization of the Performance of an UHB Turbofan with Regeneration
... This dissertation focus on the study of several parameters of a Turbofan engine, the type of engine most used in commercial aviation around the world. At the present moment, we are facing a period of critical decisions ...
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