memetic algorithms
Top PDF memetic algorithms:
TopicSearch - Personalized Web Clustering Engine Using Semantic Query Expansion, Memetic Algorithms and Intelligent Agents
... The two predominant problems with existing web clustering are inconsistencies in cluster content and inconsistencies in cluster description [1]. The first problem refers to the content of a cluster that does not always ...
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Cellular memetic algorithms
... of algorithms, called cellular memetic algorithms (cMAs), which will be evaluated here on the satisfiability problem ...evolutionary algorithms, memetic algo- rithms, SAT ...
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Cellular memetic algorithms evaluated on SAT
... Abstract. In this work, we study the behavior of several cellular memetic algorithms (cMAs) when solving the satisfiability problem (SAT). The proposed cMAs are the result of including hybridization ...
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A Memetic Algorithm Applied to the Optimal Design of a Planar Mechanism for Trajectory Tracking
... these algorithms: evolutive computing and swarm ...and Memetic Algorithms (MAs) highlight between them for synergically combining the global search dynamics of a population metaheuristic with the ...
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Project Scheduling: A Memetic Algorithm with Diversity-Adaptive Components that Optimizes the Effectiveness of Human Resources
... a memetic algorithm is proposed to solve the project scheduling problem described in ...This memetic algorithm incorporates diversity-adaptive components into the framework of an evolutionary ...This ...
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Memetic differential evolution for constrained numerical optimization problems
... including memetic approaches. A memetic approach consists in the interaction of two main techniques, global and local search [9] to improve the efficiency and reduce the limitations in the search logic, ...
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A runnable functional formal memetic algorithm framework
... In this paper a functional framework for formal memetic algorithms 23] is intro- duced. It can be easily extended, by subclassication of the class hierarchy, to provide genetic algorithm specialization ...
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On the Security of Cache Algorithms
... cache algorithms (in particular FIFO, LRU and PLRU) that gives an upper bound on the number of possible observations any of the three attackers can obtain from a specific ...cryptographic algorithms, ...
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Hybrid algorithms for solving routing problems
... In any case, other well-known metaheuristics could have been used to em- bed CP and LR, such as Tabu Search (TS) or Genetic Algorithms (GA). Both metaheuristics have been widely used for tackling different VRP ...
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Information Theory, Inference, and Learning Algorithms
... Given a channel, a family of block codes that achieve arbitrarily small probability of error at any communication rate up to the capacity of the channel are called ‘very good’ codes for [r] ...
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Overlapping Range Images using Genetics Algorithms
... Genetic algorithms (GA’s) are a type of evolutive algorithms used to resolve search and optimization problems [5, 6]. They are based on simulating the evolutive process produced in nature to resolve ...
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CI 2612 Introduction to Algorithms pdf
... randomized algorithms to enforce a probability distribution on the inputs—thereby ensuring that no particular input always causes poor perfor- mance—or even to bound the error rate of algorithms that are ...
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K-means algorithms for functional data
... KK-means algorithms have been run on test problems, analyzing the value of the concordance coef fi cient κ versus the parameter s ¼ 1 ; …; ...KK-means algorithms is achieved by small values of s showing that ...
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EC 5723 Generic Algorithms Overview pdf
... Genetic algorithms (GAs) are adaptive methods which may be used to solve search and optimisation ...genetic algorithms are able to "evolve" solutions to real world problems, if they have been ...
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Signal processing algorithms for digital hearing aids
... popular algorithms evaluated in this thesis, such as, for instance, the mean square error (MSE) linear classifier, the k-nearest neighbor algorithm, or even, a radial-basis function (RBF) ...pruning ...
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Communication of Mobile Devices with Bioinspired Algorithms
... [18] Kennedy, J., & Spears, W. M. (1998, May). Matching algorithms to problems: an experimental test of the particle swarm and some genetic algorithms on the multimodal problem generator. In 1998 IEEE ...
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Parallel ACO algorithms for 2D Strip Packing
... the received solution. In a first place, a comparison of the multicolony algorithms is presented by establishing the same effort, a prefixed number of iterations. After that, the view point is changed in order to ...
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Contrasting main selection methods in genetic algorithms
... The growth rate is defined as the ratio of the number of the best solutions in two consecutive generations. Early and late growth rates are calculated respectively, when the proportion of best solution is not ...
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Enhancing evolutionary algorithms through recombination and parallelism
... models and implementations [13], [16] are designed to exploit this inherent parallel nature of genetic algorithms. When implemented as an island model, on behalf of the evolutionary process, migration of ...
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Optimizing multi-core algorithms for pattern search
... In this section we present experiment results for processing pattern queries of length L=10 and L=30 over the DNA text collection. We evaluate the baseline parallel suffix array algor[r] ...
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