hybrid multi-objective genetic algorithm
A simulated annealing based genetic local search algorithm for multi objective multicast routing problems
... the multi- objective multicast routing ...MOEA2 algorithm in (Crichigno and Baran 2004b) on benchmark problems with different features using the same computational ...The algorithm can ...
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A Hybrid Parallel Multi Objective Genetic Algorithm: HybJacIsCone Model
... [7]. Algorithm development is a critical component of problem solving using ...sequential algorithm is nothing but a chain of fundamental steps for solving a given problem using a serial ...parallel ...
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A multi-objective genetic algorithm (MOGA) for hybrid flow shop scheduling problem with assembly operation
... Most of researches in production scheduling are concerned with the minimization of a single criterion. Up to the 1980s, scheduling research was mainly concentrated on optimizing single performance measures such as ...
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A hybrid genetic-gravitational search algorithm for a multi-objective flow shop scheduling problem Pages 331-348 Download PDF
... single objective function lumps all different targets into one and aims to obtain the “best” ...However, multi-objective optimization provides a set of compromised solutions and it is more realistic ...
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A New Multi-objective Job Shop Scheduling with Setup Times Using a Hybrid Genetic Algorithm
... a genetic algorithm for job shop scheduling problem with fuzzy processing times and fuzzy due ...The objective is to maximize the minimum agreement index, to maximize the average agreement index and ...
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Online Full Text
... A multi-objective uniform-diversity genetic algorithm (MUGA) has been proposed and successfully used to optimally design linear state feedback controllers from a reliability-based point of ...
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Distribution feeder reconfiguration for loss minimization based on Modified Honey Bee Mating Optimization algorithm
... the objective function is minimized and the constraints are ...heuristic algorithm to determine the minimum loss configuration for radial distribution networks [3, ...a genetic algorithm to ...
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Genetic Algorithm Based Hybrid Approach to Solve Multi-Objective Assignment Problem
... solving multi-objective assignment proble ...a multi-ob jective assignment problem associated with cost, time, and quality by using Fuzzy ...the multi-ob jective assignment problem by using ...
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Spam NSGA II NvBys: An efficient hybrid approach for email spam filtering
... specific algorithm for statistically determining whether or not a given e-mail message is in fact a spam ...a hybrid approach by merging Navie Bayes spam filtering algorithm and Multi ...
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Solving a Redundancy Allocation Problem by a Hybrid Multi-objective Imperialist Competitive Algorithm
... new hybrid multi-objective imperialist competition algorithm (HMOICA) based on the ICA and GA for the first time in multi-objective ...sorting genetic algorithm ...
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Multi-objective transmission expansion planning using fuzzy-genetic algorithm
... of objective functions and ignorance of value–based reliability assessment can be ...a multi–objective framework to handle different stakeholders’ objectives with a cost–benefit ...a ...
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A New Multi Objective Genetic Algorithm for Use in Investment Management
... [4] genetic algorithm with a combined fitness function based on the objective function of the portfolio variance and on the objective function of the portfolio return is ...designed ...
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Information Sciences
... A hybrid method of fuzzy simulation (FS) and genetic algorithm (GA) is proposed to solve this ...existing hybrid FS and simulated annealing (SA) algorithm through three numerical ...
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Clustering K-Means Optimization with Multi- Objective Genetic Algorithm
... was multi-objective genetic algorithm with non-domination pareto rank sorting ...to multi-objective genetic algorithm was, among others, the cluster distance ...
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The Hybrid Genetic Algorithm for Solving Scheduling Problems in a Flexible Production System
... algorithms genetic but they ignored some approaches such as those based on multi-agent systems and other Meta heuristics such as ant colonies, the particle ...
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Porosity Calculation of Tight Sand Gas Reservoirs with GA CM Hybrid Optimization Log Interpretation Method
... A multi-component model is established in Figure 3 for the studied area, considering that the reser- voirs consist of four parts: water, shale, quartz and ...
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Using Multi-Objective Genetic Algorithm on Order Picking System
... Pick and pass warehouse system becomes popular and common nowadays with the rise of e-business. Workload balance between picking line and emergency replenishment could influence working efficiency a lot. To improve the ...
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Gene subset selection for lung cancer classification using a multi-objective strategy
... Keywords: Cancer Classification, Genetic Algorithm, Gene Expression Data, Gene Selection,.. Multi-objective.[r] ...
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A Hybrid Cultural-Harmony Algorithm for Multi-Objective Supply Chain Coordination
... a multi-objective mixed integer nonlinear programming model to coordinate the system of a single-buyer- multi-vendors, under an all-unit quantity ...
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Multi-Objective Two-Dimensional Truss Optimization by using Genetic Algorithm
... of Genetic Algorithm (GA) into the field of structural optimization has opened new avenues for research because they have been successful applied while traditional methods have ...
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