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Linear Genetic Programming

Linear Genetic Programming presents a variant of Genetic Programming that evolves imperative computer programs as linear sequences;

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Theory Of Linear And Integer Programming

Theory of Linear and Integer Programming Alexander Schrijver Centrum voor Wiskunde en Informatica, Amsterdam, The Netherlands This book;

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Robust Control Systems with Genetic Algorithms

most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the;

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Robust Control Systems with Genetic Algorithms

most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the;

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Linear Programming: Methods and Applications

One of the best introductory books on linear programming excellent. Journal of the American Statistical Association.A good;

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Modelling, Simulation and Control of Non-linear Dynamical Systems

of complexion-linear dynamical systems. First, a new fuzzy-fractal approach to automated mathematical modeling of non-linear dynamical systems;

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Linear Programming with MATLAB

This textbook provides a self-contained introduction to linear programming using MATLAB(R) software to elucidate the development;

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Linear Programming

Linear programming (LP), as a specific case of mathematical programming, has been widely encountered in a broad class of scientific;

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Mathematical Programming for Operations Researchers and Computer Scientists

This book covers the fundamentals of linear programming, extension of linear programming to discrete optimization methods, multi-objective;

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Linear Programming

Feiring provides a well-written introduction to the techniques and applications of linear programming. He shows readers how to model, solve;

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Option Pricing by Means of Genetic Programming

Option Pricing by Means of Genetic Programming is een boek van Andreas Heigl;

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Genetic Systems Programming

area. Genetic programming is a relatively new promising and growing research area. Among other uses, it provides efficient tools to deal with;

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Linear Programming and Resource Allocation Modeling

Guides in the application of linear programming to firm decision making, with the goal of giving decision-makers a better understanding;

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Redundancy in Semidefinite Programming

interest in semidefinite programming and the associated demand for ways of eliminating redundant linear matrix inequality constraints in large;

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Understanding and Using Linear Programming

computer scientist should know about linear programming . A major focus is on applications of linear programming, both in practice and in theory;

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Linear Programming and Algorithms for Communication Networks

Explaining how to apply to mathematical programming to network design and control, Linear Programming and Algorithms for Communication;

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Linear Programming and Algorithms for Communication Networks

Explaining how to apply to mathematical programming to network design and control, Linear Programming and Algorithms for Communication;

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Elementary Linear Programming with Applications

Linear programming finds the least expensive way to meet given needs with available resources. Its results are used in every area;

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Exploring Interior-point Linear Programming

Linear programming is widely used in industry to solve complex planning and resource allocation problems. This book provides practitioners;

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Adaptive Business Intelligence

. Coverage includes linear regression, time-series forecasting, decision trees and tables, artificial neural networks, genetic programming, fuzzy;

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Adaptive Business Intelligence

. Coverage includes linear regression, time-series forecasting, decision trees and tables, artificial neural networks, genetic programming, fuzzy;

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Genetic Algorithms and Genetic Programming in Computational Finance

After a decade of development, genetic algorithms and genetic programming have become a widely accepted toolkit for computational finance;

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Genetic Algorithms and Genetic Programming in Computational Finance

After a decade of development, genetic algorithms and genetic programming have become a widely accepted toolkit for computational finance;

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Linear and Integer Programming

Combines the theoretical and practical aspects of linear and integer programming. Provides practical case studies and techniques, including;

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Genetic Algorithms + Data Structures = Evolution Programs

, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear;

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Genetic Algorithms + Data Structures = Evolution Programs

, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear;

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Evolutionary Programming IV

methods of evolutionary computation including evolution strategies, genetic algorithms, genetic programming, and cultural algorithms. Topics;

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