Listing 1 - 3 of 3 |
Sort by
|
Choose an application
Algorithmic aspects of combinatorics
Discrete mathematics --- Combinatorial analysis --- Algorithms. --- Data processing. --- 519.1 --- 681.3*G21 --- 681.3*G21 Combinatorics: combinatorial algorithms; counting problems; generating functions; permutations and combinations; recurrences and difference equations --- Combinatorics: combinatorial algorithms; counting problems; generating functions; permutations and combinations; recurrences and difference equations --- 519.1 Combinatorics. Graph theory --- Combinatorics. Graph theory --- Algorism --- Algebra --- Arithmetic --- Foundations
Choose an application
Combinatorial problems have been from the very beginning part of the history of mathematics. By the Sixties, the main classes of combinatorial problems had been defined. During that decade, a great number of research contributions in graph theory had been produced, which laid the foundations for most of the research in graph optimization in the following years. During the Seventies, a large number of special purpose models were developed. The impressive growth of this field since has been strongly determined by the demand of applications and influenced by the technological increases in compu
Discrete mathematics --- Combinatorial analysis --- Combinatorial number theory. --- Data processing. --- Data processing --- Number theory --- 519.1 --- 681.3*G21 --- 681.3*G22 --- 519.1 Combinatorics. Graph theory --- Combinatorics. Graph theory --- 681.3*G21 Combinatorics: combinatorial algorithms; counting problems; generating functions; permutations and combinations; recurrences and difference equations --- Combinatorics: combinatorial algorithms; counting problems; generating functions; permutations and combinations; recurrences and difference equations --- 681.3*G22 Graph theory: graph algorithms; network problems; path and tree problems; trees--See also {681.3*F22} --- Graph theory: graph algorithms; network problems; path and tree problems; trees--See also {681.3*F22} --- Combinatorial analysis - Data processing
Choose an application
Hybridization of evolutionary algorithms is getting popular due to their capabilities in handling several real world problems involving complexity, noisy environment, imprecision, uncertainty and vagueness. This edited volume is targeted to present the latest state-of-the-art methodologies in ’Hybrid Evolutionary Algorithms’. This book deals with the theoretical and methodological aspects, as well as various applications to many real world problems from science, technology, business or commerce. This volume comprises of 14 chapters including an introductory chapter giving the fundamental definitions and some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.
Evolutionary programming (Computer science) --- Evolutionary computation. --- Genetic algorithms. --- Programmation évolutive --- Réseaux neuronaux à structure évolutive --- Algorithmes génétiques --- Evolutionary computation --- Genetic algorithms --- Applied Mathematics --- Civil Engineering --- Computer Science --- Engineering & Applied Sciences --- Civil & Environmental Engineering --- 519.1 --- 681.3*G21 --- 681.3*I2 --- Combinatorics. Graph theory --- Combinatorics: combinatorial algorithms; counting problems; generating functions; permutations and combinations; recurrences and difference equations --- Artificial intelligence. AI --- 519.1 Combinatorics. Graph theory --- 681.3*I2 Artificial intelligence. AI --- 681.3*G21 Combinatorics: combinatorial algorithms; counting problems; generating functions; permutations and combinations; recurrences and difference equations --- GAs (Algorithms) --- Genetic searches (Algorithms) --- Computation, Evolutionary --- Computer science. --- Artificial intelligence. --- Computer-aided engineering. --- Applied mathematics. --- Engineering mathematics. --- Computer Science. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Appl.Mathematics/Computational Methods of Engineering. --- Artificial Intelligence (incl. Robotics). --- Algorithms --- Combinatorial optimization --- Genetic programming (Computer science) --- Learning classifier systems --- Computer programming --- Neural networks (Computer science) --- Engineering --- Engineering analysis --- Mathematical analysis --- CAE --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Informatics --- Science --- Mathematics --- Data processing --- Computer aided design. --- Mathematical and Computational Engineering. --- Artificial Intelligence. --- CAD (Computer-aided design) --- Computer-assisted design --- Computer-aided engineering --- Design
Listing 1 - 3 of 3 |
Sort by
|