algorithms and programming (GAP)
Genetic Algorithms and Programming-An Evolutionary Methodology
... Genetic Programming has initiated, highlighting the basic functionality of all the four basic aspects ...Genetic Programming (hence forth referred as GP) began with the evolutionary algorithms ...
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Approximate dynamic programming algorithms for multidimensional flexible production inventory problems
... Dynamic Programming (DP) methods due to the associated computational ...Dynamic Programming (ADP) algorithms for optimizing production decisions in this complex production-inventory problem (see ...
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Using Genetic Algorithms in Integer Programming for Decision Support
... Genetic Algorithms is a new developed quantitative method used in management decision support; it’s an Artificial intelligence technique that simulates scientific explanations in genetics and natural evolution for ...
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An Innovative Genetic Algorithms Based Inexact Non Linear Programming Problem Solving Method
... Quadratic programming problems are specific cases of non-linear programming problems ...applicable algorithms for handling the non-linear structure, and the inexact information embedded in the ...
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Dynamic Programming Algorithms for Transition Based Dependency Parsers
... Dynamic programming algorithms, also known as tabular or chart-based algorithms, are at the core of many applications in natural language processing. When applied to formalisms such as context-free ...
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Nonlinear Programming Algorithms for CAD Systems of Line Structure Routing
... non-standard algorithms with using the features of the particular ...of algorithms based on the use of constraints features, which arise in the problems of optimal line structures ...nonlinear ...
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INF 3 Algorithms and programming languages Modified
... Procedural programming can sometimes be used as a synonym for imperative programming (specifying the steps the program must take to reach the desired state), but can also refer to a programming ...
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Introduction to Algorithms and Programming Languages
... In unstructured programming, programmers write small and simple programs consisting only one main program. Here main() consists of statements that modify the data that is global throughout the whole program. This ...
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Neural Networks Algorithms, Applications,and Programming Techniques James A Freeman pdf
... our algorithms must take a universal zero value into account and must not allow it to participate in the adaptation process; otherwise, the placeholder connection will be changed as the network adapts and ...
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Computer Vision: Algorithms and Applications - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials
... on algorithms, especially those that are known to work well in ...are algorithms that are both robust to noise and deviation from our models and rea- sonably efficient in terms of run-time resources and ...
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A comparison of genetic algorithms and evolutionary programming in conceptual software design
... The application of search-based approaches to software engineering is currently being researched in all phases of the software development lifecycle. For example, the clustering and grouping algorithms reported ...
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Scalable Programming and Algorithms for Data Intensive Life Science Applications
... SALSA project (salsahpc.indiana.edu) investigates new programming models of parallel multicore computing and Cloud/Grid computing. It aims at developing and applying parallel and distributed Cyberinfrastructure to ...
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Random Search as the Method of Nonlinear Programming. Algorithms of Random Search
... The considered algorithm of random search to some extent uses training to select the next step. The learning and the search in this case are of a statistical nature. This is reflected in the fact that out of precisely ...
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Introduction to Programming in C++: Algorithms, Flowcharts and Pseudocode
... algorithm. Algorithms are a fundamental part of ...study algorithms of frequently used ...on algorithms for such common activities as storing and ordering ...own algorithms. However, you may ...
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The Algorithms of Speech Recognition,Programming and Simulating in Matlab
... My aim of this thesis work is to Test the algorithms of speech recognition. I have programmed and simulated the designed systems for speech recognition’s Algorithms in MATLAB.Hence,There are two systems ...
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Mathematical programming algorithms for equilibrium road traffic assignment
... 6.5 Link flows obtained by Algorithm 1 in Charlesworth's network 239 6.6 Link flows obtained by Algorithm 2 in Charlesworth's network 239 6.7 Link flows obtained by Algorithm 3 in Cha[r] ...
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A Survey on Energy Efficiency from Programming and Algorithmic Perspective
... [11] Noureddine et al described about Jolinar, a tool that fill the gap between energy measurements, access to software engineers and end-users. Implementation is done on Chudnovsky’s algorithm and Ramanujan’s algorithm. ...
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Core Techniques and Algorithms in Game Programming pdf
... Many programmers do not trust the STL because they think it is slow or inefficient. The reason they think this way is that the STL's feature set is quite impressive, and it is hard to believe that those features have ...
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Satisfiability Based Algorithms for Pseudo Boolean Optimization Using Gomory Cuts and Search Restarts
... Cutting planes are a well-known, widely used, and very effective technique for Integer Linear Programming (ILP). In contrast, the utilization of cutting planes in Pseudo- Boolean Optimization (PBO) is recent and ...
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Analysis Tools for Data Enabled Science
... – Mapreduce is a Programming Model instantiating the paradigm of bringing computation to data – Iterative Mapreduce extends Mapreduce programming model and support iterative algorithms f[r] ...
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