Optimization algorithms are increasingly popular in engineering design activities like maximizing or minimizing a certain goal, primarily because of the availability and affordability of high speed computers. There is a large class of interesting problems (e.g., optimization) for which no reasonably fast algorithms have been developed. For the last three decades genetic algorithm is being used in structural optimization, function optimization, database query optimization and parametric optimization and so on. The 0-1 knapsack problem is an NP-Hard problem and due to its high computational complexity, algorithms such as backtracking, dynamic programming for exact solution of the 0-1 knapsack problem are not suitable for most real-time decision making applications, such as admission control for interactive multimedia systems or service level agreement management in telecommunication network. The book presents a genetic algorithmic approach for finding near optimal solutions of 0-1 knapsack problem, with reduced computational complexity and is suitable for real-time applications. The analysis should help in the improvement of optimization algorithms and useful in communication fields.
Optimization algorithms are increasingly popular in engineering design activities like maximizing or minimizing a certain goal, primarily because of the availability and affordability of high speed computers. There is a large class of interesting problems (e.g., optimization) for which no reasonably fast algorithms have been developed. For the last three decades genetic algorithm is being used in structural optimization, function optimization, database query optimization and parametric optimization and so on. The 0-1 knapsack problem is an NP-Hard problem and due to its high computational complexity, algorithms such as backtracking, dynamic programming for exact solution of the 0-1 knapsack problem are not suitable for most real-time decision making applications, such as admission control for interactive multimedia systems or service level agreement management in telecommunication network. The book presents a genetic algorithmic approach for finding near optimal solutions of 0-1 knapsack problem, with reduced computational complexity and is suitable for real-time applications. The analysis should help in the improvement of optimization algorithms and useful in communication fields.
The Knapsack: A Collection of Original Short Stories, Sketches, Anecdotes, and Essays is a delightful and entertaining collection of literary gems from some of the most talented writers of the early...
Originally written in 1877 and then reworked for inclusion in the 1880 Naturalist anthology Les Soirées de Médan, this novella tells the story of the daily life of a French conscript during the...
With the rapid diffusion of the internet, different kinds of market designs fore-commerce have emerged. Among these, combinatorial auctions (CAs) havegained increased interest as they permit bidders...
Smith's Knapsack is an unchanged, high-quality reprint of the original edition of 1884.Hansebooks is editor of the literature on different topic areas such as research and science, travel and...
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it.This work is in the "public domain in the United States of...
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