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Discrete Optimization for TSP-like Genome Mapping Problems

This book introduces a discrete optimisation technique in four applications: classic Traveller Salesperson Problem (TSP), Multilocus;

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Handbook of Optimization Theory

book, formulations, mathematical models and algorithms for genetic/genomic mapping problem that can be formulated in TSP-like terms are;

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Discrete Cuckoo Search for Combinatorial Optimization

example with individual steps of how cuckoo search (CS) can be adapted to solve combinatorial optimization problems. It demonstrates the;

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Discrete Cuckoo Search for Combinatorial Optimization

example with individual steps of how cuckoo search (CS) can be adapted to solve combinatorial optimization problems. It demonstrates the;

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Algorithms for Convex Optimization

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous;

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Algorithms for Convex Optimization

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous;

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Travelling Salesman Problem(tsp)Optimization Through Genetic Algorithm

solution to TSP will be a significant work as it will give better results for many TSP related applications. There are several methods and;

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Discrete Convex Analysis

Discrete Convex Analysis is a novel paradigm for discrete optimization that combines the ideas in continuous optimization (convex analysis;

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Parallel Processing of Discrete Problems

of parallel computers has created substantial interest in exploring the use of parallel processing for solving discrete and global optimization;

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Discrete Problems in Nature Inspired Algorithms

This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization;

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Discrete Problems in Nature Inspired Algorithms

This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization;

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Discrete Geometry and Optimization

Optimization has long been a source of both inspiration and applications for geometers, and conversely, discrete and convex geometry have;

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Paradigms of Combinatorial Optimization

Combinatorial optimization is a multidisciplinary scientific area,lying in the interface of three major scientific domains:mathematics;

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Advances In Combinatorial Optimization

/>Advances in Combinatorial Optimization presents a generalized framework for formulating hard combinatorial optimization problems (COPs;

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Discrete Optimization and Operations Research

This book constitutes the proceedings of the 9th International Conference on Discrete Optimization and Operations Research, DOOR 2016, held;

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The Design of Approximation Algorithms

methods for proving that optimization problems are hard to approximate. Designed as a textbook for graduate-level algorithm courses, it will also;

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Topological Optimization and Optimal Transport

required for optimization of geometry and topology of shapes are explored. Furthermore, applications in science and engineering, including;

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Pressure and Temperature Sensitive Paints

Luminescent molecule sensors, called pressure-sensitive paint (PSP) and temperature-sensitive paint (TSP), measure factors essential for;

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Principles and Practices of Plant Genomics, Vol. 1

Genome of an organism is depicted by genetic linkage mapping and physical mapping. Genome mapping stated with genetic linkage mapping and;

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The Soybean Genome

shows how the genome sequence influences research in the areas of genetic mapping, marker development, and genome-wide association mapping for;

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Self-Adaptive Heuristics For Evolutionary Computation

question arises: how can evolutionary algorithms learn parameters automatically during the optimization? Evolution strategies gave an answer;

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Mapping the Travel Behavior Genome

Mapping the Travel Behavior Genome covers the latest research on the biological, motivational, cognitive, situational, and dispositional;

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Evolutionary Constrained Optimization

evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based;

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Parallel Random Search Algorithm

of the exact solution approaches is impossible due to large computational demands. Initially designed for unconstrained optimization, the variant;

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Integer and Combinatorial Optimization

Rave reviews for INTEGER AND COMBINATORIAL OPTIMIZATION This book provides an excellent introduction and survey of traditional fields;

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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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Discrete Mathematics and Applications

, optimization, and game theory. Graduate students and researchers in optimization, mathematics, computer science, economics, and physics will find the;

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