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multiple objective genetic algorithm

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... weight multiple-objective genetic algorithm solution ...MATLAB genetic algorithm program is designed to solve the practical ...

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The Use of Multi Objective Genetic Algorithm Based Approach to Create Ensemble of ANN for Intrusion Detection

The Use of Multi Objective Genetic Algorithm Based Approach to Create Ensemble of ANN for Intrusion Detection

... This phase evolves the weights for pool of ANNs to formulate diverse base classifiers using MOGA. The diversity among base classifiers is maintained implicitly by varying initial random weights used for multi objec- tive ...

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Multiple Objective Optimization and Design of Series Parallel Systems Using Novel Hybrid Genetic Algorithm Meta Heuristic Approach

Multiple Objective Optimization and Design of Series Parallel Systems Using Novel Hybrid Genetic Algorithm Meta Heuristic Approach

... nature of generation, transmission, and circulation in composite system frame- works. To improve component reliability and implement redundancy while achieving a trade-off between system performance and resources, ...

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Application of Multi objective Genetic Algorithm to Multipurpose Reservoir

Application of Multi objective Genetic Algorithm to Multipurpose Reservoir

... involving multiple competing objectives relies on choosing a design solution from an optimal set of ...efficient algorithm independent stopping criterion, called the MGBM criterion, suitable for Multi- ...

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Test Case Generation from Activity Diagram Using Multiobjective Evolutionary Algorithm

Test Case Generation from Activity Diagram Using Multiobjective Evolutionary Algorithm

... or multiple objectives like reduction in time, cost, increased fault count ...multi objective genetic algorithm including multiple ...

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Solving Vehicle Routing Problem with Proposed Non  Dominated Sorting Genetic Algorithm and Comparison with Classical Evolutionary Algorithms

Solving Vehicle Routing Problem with Proposed Non Dominated Sorting Genetic Algorithm and Comparison with Classical Evolutionary Algorithms

... Multi-objective genetic algorithm (MOGA) being a population-based approach, genetic algorithm (GA) are suited to solve multi-objective optimization problems [11, ...of ...

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Computational steering of a multi-objective genetic algorithm using a PDA

Computational steering of a multi-objective genetic algorithm using a PDA

... Scatter plot matrices are one commonly used technique in the visualisation of high dimensional data sets. They provide a visualisation technique that facilitates rapid scanning of many dimensions; however discovery of ...

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The Multi-Objective Genetic Algorithm Based Techniques for Intrusion Detection

The Multi-Objective Genetic Algorithm Based Techniques for Intrusion Detection

... multi- objective techniques that a good approximation of the true Pareto front of non-dominated solutions is obtained in a single ...having multiple conflicting objectives and a dataset can be represented ...

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A Hybrid Parallel Multi Objective Genetic Algorithm: HybJacIsCone Model

A Hybrid Parallel Multi Objective Genetic Algorithm: HybJacIsCone Model

... memory, multiple computers/processors are highly advisable which can also give increased ...[7]. Algorithm development is a critical component of problem solving using ...sequential algorithm is ...

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A New Multi Objective Genetic Algorithm for Use in Investment Management

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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MULTI-OBJECTIVE GENETIC ALGORITHM FOR REACTIVE POWER OPTIMIZATION INCLUSING VOLTAGE STABILITY

MULTI-OBJECTIVE GENETIC ALGORITHM FOR REACTIVE POWER OPTIMIZATION INCLUSING VOLTAGE STABILITY

... like genetic algorithm to find multiple optimal solutions in one single simulation run makes them unique in solving multi-objective optimization problems ...

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A multi-objective Pareto ant colony algorithm for the Multi-Depot Vehicle Routing problem with Backhauls   Pages 35-48
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A multi-objective Pareto ant colony algorithm for the Multi-Depot Vehicle Routing problem with Backhauls Pages 35-48 Download PDF

... Salhi and Nagy (1999) proposed a heuristic approach to solve the MDVRPB, which is is based on the idea of “Border Customers”, defined as the customers geographically located in a middle point between two depots. Min et ...

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A simulated annealing based genetic local search algorithm for multi objective multicast routing problems

A simulated annealing based genetic local search algorithm for multi objective multicast routing problems

... multi- objective multicast routing ...MOEA2 algorithm in (Crichigno and Baran 2004b) on benchmark problems with different features using the same computational ...The algorithm can effectively ...

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A Multi Objective Genetic Algorithm for Virtual Machine Placement in Cloud Computing

A Multi Objective Genetic Algorithm for Virtual Machine Placement in Cloud Computing

... (OVMP) algorithm. This algorithm is introduced to reduce the cost spending for hosting the each plan of virtual machines in multiple cloud ...OVMP algorithm identifies the best possible ...

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Discovering Interesting Association Rules: A Multi-objective Genetic Algorithm Approach

Discovering Interesting Association Rules: A Multi-objective Genetic Algorithm Approach

... multi-objective genetic algorithm approach is used to discover interesting association rules from large ...proposed algorithm does not require users to specify the minimum-support and minimum ...

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Using Genetic Algorithm to Generate Pareto Front in Multi Objective Problem

Using Genetic Algorithm to Generate Pareto Front in Multi Objective Problem

... involve multiple objectives (such as minimizing both cost and time) and should be ideally formulated and solved as a multi-objective optimization ...

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Multi-objective transmission expansion planning using fuzzy-genetic algorithm

Multi-objective transmission expansion planning using fuzzy-genetic algorithm

... of objective functions and ignorance of value–based reliability assessment can be ...a multiple criteria decision making whose main elements are REliability and MARKet ...hybrid Genetic ...

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Double-Objective Optimization Based on Movement Dynamics of Charged Particles

Double-Objective Optimization Based on Movement Dynamics of Charged Particles

... usually multiple objectives that their Pareto-optimal solutions are a set of optima instead of a single optimal solution and usually, there is no any best ...sorting genetic algorithm (NSGA) is one ...

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A Genetic Algorithm for Multiple Inspections with Multiple Objectives

A Genetic Algorithm for Multiple Inspections with Multiple Objectives

... type. Genetic Algorithms have the ability to con- struct and manipulate sequences motivated by an objec- tive ...the Genetic Algorithm trademarks of selection, crossover and mutation, a population of ...

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Multi-Objective Genetic Algorithm: A Comprhensive Survey

Multi-Objective Genetic Algorithm: A Comprhensive Survey

... an objective, which is often the cost of fabrication, amount of harmful gases, and efficiency of process, product reliability, or other ...one objective. The presence of multiple conflicting ...

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