memetic algorithm
A MEMETIC ALGORITHM FOR LOGISTICS NETWORK DESIGN PROBLEMS
... Dias et al. [9] proposed a memetic algorithm for an LND problem involving opening, closing, and re-opening facilities over a planning horizon with multiple periods. Vari- ous mechanisms were employed to ...
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A Hybrid Algorithm Based on Memetic Algorithm and Tabu Search for k-Minimum Spanning Tree Problems
... hybrid algorithm to solve this problem, by using Memetic Algorithm as a diversification strategy for Tabu ...our Memetic Algorithm is based on dynamic programming algorithm, ...
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Mixed-Integer Constrained Optimization Based on Memetic Algorithm
... mechanisms. Memetic Algorithms (MAs) are hybrid EAs that combine genetic operators with local search ...search algorithm, has been successfully applied to many mixed-integer optimization ...a memetic ...
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Improving the Solution of Traveling Salesman Problem Using Genetic, Memetic Algorithm and Edge assembly Crossover
... [10] A Novel Memetic Algorithm with Random Multi-local-search: A case study of TSP Peng Zou', Zhi Zhou', Guoliang Chen', Xin Yao'.' 'National High Performance Computing Center at Hefei 230027 Hefei ...
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A Memetic Algorithm for a Bi-objective Bus Driver Rostering Problem
... A bi-objective version of the DRP is considered and two models are presented. Due to the high computational complexity of DRP, this paper proposes the Strength Pareto Utopic Memetic Algorithm (SPUMA) a new ...
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Comparison Study for Clonal Selection Algorithm and Genetic Algorithm
... Immune Algorithm, which is developed from immunology, is studied with various settings and got some modifications over the years as well as being applied to various common day problems ...Selection ...
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Heuristic Task Allocation Strategies for Computational Grid
... uses Memetic algorithm for grid task allocation ...optimization algorithm is a probabilistic technique for solving NP complete ...ACO) algorithm is compared with ACO (Improved ACO), FPLTF ...
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Resource Leveling Using Petrinet and Memetic Approach
... Abstract: The problem of scheduling activities dynamic for a project, within the available resources and adhering to precedence relationships is NP hard combinatorial. Traditional approaches and their extensions are ...
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Aprendizagem e busca local em algoritmos meméticos para projetoassistido por computador
... the memetic algorithm takes more time than the genetic al- gorithm, but this situation clearly inverts when the time to evaluate ...multi-objective memetic algorithms perform better than their basic ...
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Diversity-Based Boosting Algorithm
... effective algorithm to increase the classification accuracy and reduce the ensemble ...the algorithm and evaluated its performance through extensive experiments in comparison with conventional AdaBoost ...
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Integral Imaging Based 3-D Image Encryption Algorithm Combined with Cellular Automata
... encryption algorithm combines the use of computational integral imaging (CII) and linear-complemented maximum- length cellular automata (LC-MLCA) to encrypt a 3D ...proposed algorithm, we perform ...
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An Ensemble Method based on Particle of Swarm for the Reduction of Noise, Outlier and Core Point
... 89 classifiers are pooled before a final classification decision is made. Classifier ensembles provide an extra degree of freedom in the classical bias/variance tradeoff, allowing solutions that would be difficult to ...
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Probability Distributions Achieving the Equilibrium of an AND-OR Tree under Directional Algorithms
... pruning algorithm is said to be directional (Pearl, 1980) if for some linear ordering of the leaves (Boolean variables) it never selects for examination a leaf situated to the left of a previously examined ...
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A HYBRID OPTIMIZATION ALGORITHM BASED ON GENETIC ALGORITHM AND ANT COLONY OPTIMIZATION
... 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 ...
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Genetic algorithm in Chemistry.
... GENETIC ALGORITHM IN CHEMISTRY. Genetic algorithm is an optimization technique based on Darwin evolution ...the algorithm works in an optimization ...
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An Energy Backpropagation Algorithm
... EBP algorithm adapts the following principles: (1) doing the learning and convergence processes for parts of the image and not all, (2) using small size of net will reduce size of learning weights matrices of the ...
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ASK I nternational Association for the Scient if ic Knowledge
... the algorithm The progression of the algorithm is shown on the application right frame and if any information has been filled for a particular iteration in the modified Octave file, then it will be ...
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A weighted AMMI algorithm for nonreplicated data
... Abstract – The objective of this work was to propose a weighting scheme for the additive main effects and multiplicative interactions (AMMI) model, as well as to assess the usefulness of this W-AMMI model in the study of ...
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ALGORITHM FOR IMAGE MIXING AND ENCRYPTION
... The algorithm was applied to all 780 possible combination pairs of 40 different images of various types, with sizes ranging from 10 to 2000 kilobytes ...the algorithm that strongly resist statistical ...
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Station Cone Algorithm for Linear Programming
... The paper is organized as follows. In section 2 we introduce the concept of station cone which is fundametal important for the construction of the algorithm. In section 3, we describe the criterion of selecting ...
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