evolutionary algorithms (EAs)
Probabilistic Graph Programs for Randomised and Evolutionary Algorithms
... Evolutionary Algorithms (EAs) are a class of meta-heuristic search and optimisa- tion algorithms that are inspired by the principles of neo-Darwinian ...
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Comparing Evolutionary Operators, Search Spaces, and Evolutionary Algorithms in the Construction of Facial Composites
... An alternative, less demanding, method for locating a face in a face-space is to use an iterative process whereby generated faces are assessed by the witness according to their similarity to the perpetrator. This method ...
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Network coding via evolutionary algorithms
... Evolutionary Algorithms (EAs) are heuristic methods that solve combinatorial optimisation ...allow evolutionary changes to ...of evolutionary algorithm inspired by the evolutionist theory ...
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Different Aspects of Evolutionary Algorithms, Multi-Objective Optimization Algorithms and Application Domain
... Optimization. Evolutionary Algorithms are search methods based on the natural solution and survival of the fittest in the biological ...world. Evolutionary Algorithm differ from other Optimization ...
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General Upper Bounds on the Runtime of Parallel Evolutionary Algorithms
... Due to the increasing number of CPU cores, exploiting possible speedups by parallel computations is nowadays more important than ever. Parallel evolutionary algorithms (EAs) form a popular class of ...
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Evolutionary Algorithms to Aid Watershed Management
... as evolutionary algorithms (EAs), allow flexible problem formulations and the incorporation of complex simulation models directly into the search, and are gaining in utility and popularity for application ...
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Preventing Phishing Attack using Evolutionary Algorithms
... masquareds as a reputable entity for seizing their user personal details like username, password and other details. It is carried out by Email spoofing or Instant Messaging which insists the user to enter the personal ...
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Solving Ordinary Differential Equations with Evolutionary Algorithms
... that evolutionary algorithms for solving optimization problems can also be adapted for solving the formulated ...an evolutionary algorithm known as Differential Evolution ...
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PSA based multi objective evolutionary algorithms
... 9. Wineberg, M., Oppacher, F.: The underlying similarity of diversity measures used in evolutionary computation. In Cant´ u-Paz, E., Foster, J., Deb, K., Davis, L., Roy, R., O’Reilly, U.M., Beyer, H.G., Standish, ...
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Protein structure prediction with evolutionary algorithms
... Evolutionary algorithms have been success- fully applied to a variety of molecular struc- ture prediction ...genetic algorithms that have been applied to a simple protein struc- ture prediction ...
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Investigating the parameter space of evolutionary algorithms
... an evolutionary algorithm (EA), and a ...an evolutionary algorithm by choosing parameter values that optimize its performance, and that of analyzing an evolutionary algorithm by studying how its ...
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On replacement strategies in steady state evolutionary algorithms
... of Evolutionary Algorithms are widely used, yet surprisingly lit- tle attention has been paid to the effects arising from different replacement ...of Evolutionary Algorithm ...for algorithms’ ...
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A Review of Evolutionary Algorithms for E-Commerce
... and evolutionary algorithms – from both academia and industry; (b) the need for robust, adaptive AI techniques (such as EA) that can significantly increase the degree of automation and computational ...
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Evidence of coevolution in multi-objective evolutionary algorithms
... Abstract - This paper demonstrates that simple yet important characteristics of coevolution can occur in evolutionary algorithms when only a few conditions are met. We find that interaction-based fitness ...
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Using Heritage in Multi-Population Evolutionary Algorithms
... It can be difficult to find appropriate test-cases to verify the use of a system design in simulation compared to solving a problem. This is partly because simulated models representing real-world scenarios are not ...
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PSA based multi objective evolutionary algorithms
... 9. Wineberg, M., Oppacher, F.: The underlying similarity of diversity measures used in evolutionary computation. In Cant´ u-Paz, E., Foster, J., Deb, K., Davis, L., Roy, R., O’Reilly, U.M., Beyer, H.G., Standish, ...
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Evolutionary Algorithms in Astrodynamics
... This paper presents the method of solving the equations of motions by evolutionary algorithms. Starting from random trajectory, the solution is obtained by accepting the mutation if it leads to a better ...
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DEAP: Evolutionary Algorithms Made Easy
... (Distributed Evolutionary Algorithms in Python) framework is built over the Python programming language that provides the essential glue for assembling sophisticated EC ...custom evolutionary ...
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Reliability based optimization for multiple constraints with evolutionary algorithms
... We suggest a reliability-based optimization procedure based on evolutionary algorithms for finding solutions with respect to different reliability values simultaneously [10]. It was shown in the previous ...
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Self adaptation in evolutionary algorithms
... There are two major reasons for investigating the use of a SSGA. The first of these is that the overall plan is to incorporate the various operators developed, and it was found that the Lego operator worked better in a ...
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