Multi-objective genetic algorithm
Development of a multi-objective genetic algorithm to reduce individual risk and travelling time during evacuation in toxic cloud release scenarios
... a multi- objective optimization problem to give more information for the decision ...a multi-objective genetic algorithm written in C++ that results in a set of non-dominated ...
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Multi-objective genetic algorithm for competency-based selection of auditing teams
... a multi-objective genetic algorithm to select the best auditors to perform a certain ...The algorithm involves the competence allocation problem under three different point of views: ...
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A new method for feature selection based on fuzzy similarity measures using multi objective genetic algorithm
... by multi objective genetic algorithm (FSFSM – MOGA) is ...the multi – objective genetic ...by multi objective genetic ...
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Multi-objective genetic algorithm applied to spectroscopic ellipsometry of organic-inorganic hybrid planar waveguides
... and multi-objective optimization genetic algorithm considering two films, termed as dUZ40-1 and dUZ40-2, whose ellipsometry data was simultaneously ...
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Fitting membrane resistance along with action potential shape in cardiac myocytes improves convergence: application of a multi-objective parallel genetic algorithm.
... objective function is zero, signifying that the desired criteria are fulfilled completely. Termination were based on either a maxi- mum time limit (86400 s) or a maximum number of generations (100), whichever was ...
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A Multi-objective Approach for Multi-commodity Location within Distribution Network Design Problem
... a multi-objective genetic algorithm (MOGA) to find a set of optimal pareto solution for Supply chain network (SCN) ...for Multi-commodity supply network planning and a branch and price ...
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Multi-Objective Optimization Algorithm to the Analyses of Diabetes Disease Diagnosis
... clustering-ranking algorithm using a series of reference lines as cluster ...interactive genetic algorithm based multi-objective approach that could simultaneously found clustering ...
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Multi-Objective Cooperative Paths Planning for Multiple Parafoils System Using a Genetic Algorithm
... improved genetic algorithm is used to solve the multi-objective cooperative paths planning problem of multiple parafoils ...accelerate algorithm convergence ...
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Strength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer Networks
... simple multi-objective method is to form a composite objective function as the weighted sum of the objectives, where a weight for an objective is proportional to the preference factor assigned ...
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Multi-Objective Curing Cycle Optimization for Glass FabricEpoxy Composites Using Poisson Regression and Genetic Algorithm
... a multi-parameter design of experiments, using Taguchi method, has been conducted in order to investigate the optimum curing conditions for glass fabric/epoxy laminated composites, followed by a statistical ...
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Multi-objective optimization in systematic conservation planning and the representation of genetic variability among populations
... on multi-objective optimization, which allowed us to cope with more than one ...sorting genetic algorithm II (NSGA-II, a state-of-the-art MOEA) to search for optimal ...known genetic ...
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Modeling and Optimization of Precedence-Constrained Production Sequencing and Scheduling Using Multi-Objective Genetic Algorithms
... approximation algorithm for precedence constrained scheduling to minimize the sum of weighted completion times on a single ...branch-and-bound algorithm to minimize the maximum task lateness in the ...
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Multi-objective optimization in systematic conservation planning and the representation of genetic variability among populations
... on multi-objective optimization, which allowed us to cope with more than one ...sorting genetic algorithm II (NSGA-II, a state-of-the-art MOEA) to search for optimal ...known genetic ...
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A multi-objective Pareto ant colony algorithm for the Multi-Depot Vehicle Routing problem with Backhauls
... the multi depot vehicle routing problem with mixed pickup and delivery were presented by Wade and Salhi (2004) and Wade and Salhi ...Finally, genetic algorithms for solving the MDVRPB were proposed by ...
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A Multi-Objective Ant Colony System Algorithm for Virtual Machine Placement
... proposed algorithm when tested with literature instances proved to be more effic ient in VM place ment thereby reducing the resource wastage and reducing the power consumption of the ...
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Selection of a strategic plan using multi-objective optimization
... 22 etc.) simultaneously. The AHP is used first to determine the relative importance of alternative warehouses and then, the GP model is formulated to select the best set of warehouses considering the limited available ...
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Multi-objective pareto-efficient algorithms for recommender systems
... evolutionary algorithm (SPEA-2), proposed by Zitzler et ...for multi-objective problems. The main features of this algorithm are: (i) the fitness assignment scheme takes into account how many ...
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A Memetic Algorithm for a Bi-objective Bus Driver Rostering Problem
... devised algorithm, SPUMA, is compared with an adaptation of a standard procedure, SPEA2, in three sets of instances obtained from real and randomly generated data and taking into account Law and institutional ...
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A Multi-Objective Approach to Test Suite Reduction
... Software testing is useful in detecting faults, and could also be able to locate them using automatic fault detection techniques, such as spectrum based fault localization. The diagnosability is dependent on the test ...
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Fuzzy-Genetic Classifier algorithm for bank's customers
... new algorithm for extracting accurate and comprehensible rules from database via fuzzy genetic classifier by two methodologies fuzzy system and genetic algorithms in one ...efficient genetic ...
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