memetic algorithms
Estimating meme fitness in adaptive memetic algorithms for combinatorial problems
... adaptive memetic algorithm that simulta- neously adapted the global and local search characteristics according to a measure of (global) fitness ...probabilistic memetic framework was proposed in Nguyen et ...
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Meme fitness and memepool sizes in coevolutionary memetic algorithms
... adaptive memetic algorithms where the pivot function, depth, and definition of the local search operators are co-evolved alongside a population of potential solutions to the problem in ...
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N-Queens Problem Optimization Using Various Memetic Algorithms
... N-Queens problem which is to place the ‘n’ numbers of Queens on a chess board so that neighbor Queens cannot contradict each other vertically, horizontally and diagonally. Some of the recent AI techniques include the use ...
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The co evolution of memetic algorithms for protein structure prediction
... between algorithms is significant, and a series of paired t-tests confirms that the results for the SComa algorithm are signifi- cantly better than any of the others with over 95% ...the Memetic ...
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A tutorial for competent memetic algorithms: Model, taxonomy and design issues
... Abstract—The combination of evolutionary algorithms with local search was named “memetic algorithms” (MAs) (Moscato, 1989). These methods are inspired by models of natural systems that combine the ...
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Coevolving memetic algorithms: A review and progress report
... This paper presents a rationale for such systems and places them in the context of other recent work on Adaptive Memetic Algorithms. It then proposes a general structure within which a population of local ...
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Genetic and Memetic Algorithms for Sequencing a New JIT Mixed-Model Assembly Line
... Memetic algorithms can be viewed as a marriage between a population-based global technique and a local search made by each of the ...genetic algorithms with a local hill climbing. Like genetic ...
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Decision-making Tools and Memetic Algorithms in Management and Linear Programming Problems
... the memetic algorithm, so it can be said that both the proposed Memetic algorithm and Microsoft Excel Solver tool reach optimal solutions for Operational Research problems, including high complex problems ...
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Co evolving memetic algorithms: A learning approach to robust scalable optimisation
... a Memetic Algorithm are co-evolved alongside the problem ...a Memetic Algorithm using a fixed neighbourhood function, and a similar Memetic Algo- rithm which uses random rules, ...scalable ...
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Co evolving memetic algorithms: Initial investigations
... with no use of Local Search GA, a simple MA using one iteration of greedy ascent over the neighbourhood at Hamming distance 1 MA, a version of COMA using a randomly created rule in each [r] ...
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Designing Equity Option Strategies Using Memetic Algorithms
... DOI: 10.4236/ti.2018.94013 184 Technology and Investment Any search algorithm has a limited computation budget. It must therefore tradeoff exploration and exploitation . Exploration refers to an ability to quickly find ...
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Protein structure prediction with co evolving memetic algorithms
... GRand algorithms described ...GCOMA algorithms discovered and used problem specific information (such as optimal pat- terns for different sub-problems), and subsequent work has shown them to be highly ...
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Improved Genetic and Memetic based Task Scheduling in Cloud Computing Environment
... The memetic algorithms can be viewed as a marriage between a population-based global technique and a local search made by each of the ...genetic algorithms with a local hill climbing. Like genetic ...
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Multiobjective memetic algorithm applied to the optimisation of water distribution systems
... genetic algorithms (GAs) are perhaps the most widely used method (see ...2010). Memetic algorithms (MAs) are hybrid methods which combine the powerful explorative search capabilities of heuristic ...
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Improved Memetic Algorithm and Its Application on Traveling Salesman Problem
... The memetic algorithm (MA) was firstly proposed by Moscato in ...considered memetic algorithm as being close to a form of population-based hybrid genetic algorithm (GA) coupled with an individual learning ...
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A Memetic Algorithm for whole test suite generation
... Genetic Algorithms to the problem of generating unit-level test suites for Java classes with high branch cov- ...a Memetic Algorithm. Although Memetic Algorithms have already been used in the ...
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A Memetic Algorithm for whole test suite generation
... Genetic Algorithms to the problem of generating unit-level test suites for Java classes with high branch cov- ...a Memetic Algorithm. Although Memetic Algorithms have already been used in the ...
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Memetic Algorithm with Hybrid Mutation Operator
... is memetic algorithm. Memetic Algorithm is motivated by Dawkins notation of a ...[15]. Memetic Algorithm binds the functionality of genetic algorithm with several heuristics search techniques like ...
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Solving Asymmetric Travelling Salesman Problem using Memetic Algorithm
... problems. Memetic Algorithms exploit all available knowledge about the ...problem. Memetic algorithms combine the power of genetic algorithm and local ...
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