Introduction to Genetic Algorithms
This book is designed to provide an in-depth knowledge on the basic operational features and characteristics of Genetic Algorithms. ...
Lee mas
Job Scheduling Strategies for Parallel Processing (vol. # 3834)
Constitutes the refereed postproceedings of the 11th International Workshop on Job Scheduling Strategies for Parallel Processing, ...
Lee mas
Knowledge-Driven Computing : Knowledge Engineering and Intelligent Computations
Knowledge-Driven Computing constitutes an emerging area of intensive research located at the intersection of Computational ...
Lee mas
Large-Scale Knowledge Resources. Construction and Application : Third International Conference on Large-Scale Knowledge Resources, LKR 2008, Tokyo, Japan, March 3-5, 2008. Proceedings
Atthestartofthe21stcentury,wearenowwellonthewaytowardsaknowled- intensive society, in which knowledge plays ever more important ...
Lee mas
Linear Genetic Programming
Linear Genetic Programming examines the evolution of imperative computer programs written as linear sequences of instructions. ...
Lee mas
Linkage in Evolutionary Computation
The whole volume consisting of 19 chapters is divided into 3 parts: Models and Theories; Operators and Frameworks; Applications. ...
Lee mas
Mechanisms, Symbols, and Models Underlying Cognition
Constitute the refereed proceedings of the First International Work-Conference on the Interplay between Natural and Artificial ...
Lee mas
Meshfree Methods for Partial Differential Equations III
Meshfree methods for the numerical solution of partial differential equations are becoming more and more mainstream in many ...
Lee mas
Metaheuristic Optimization via Memory and Evolution
Tabu Search (TS) and, more recently, Scatter Search (SS) have proved highly effective in solving a wide range of optimization ...
Lee mas
Metaheuristic Procedures for Training Neural Networks
Metaheuristic Procedures For Training Neural Networks provides successful implementations of metaheuristic methods for neural ...
Lee mas
Metaheuristics
The aim of METAHEURISTICS: Progress in Complex Systems Optimization is to provide several different kinds of information: ...
Lee mas
Metaheuristics for Hard Optimization
Metaheuristics for Hard Optimization comprises of three parts. The first part is devoted to the detailed presentation of ...
Lee mas
Metaheuristics for Hard Optimization
Metaheuristics for Hard Optimization comprises of three parts. The first part is devoted to the detailed presentation of ...
Lee mas
Metaheuristics for Scheduling in Distributed Computing Environments
This volume presents meta-heuristics approaches for Grid scheduling problems. Due to the complex nature of the problem, meta-heuristics ...
Lee mas
Metaheuristics for Scheduling in Industrial and Manufacturing Applications
This book deals with the application of various novel metaheuristics in scheduling. Addressing the various issues of scheduling ...
Lee mas
Metaheuristics:
Metaheuristics: Progress as Real Problem Solvers is a peer-reviewed volume of eighteen current, cutting-edge papers by leading ...
Lee mas
Modelling and Optimization of Biotechnological Processes
The book begins with a historical introduction to the field of bioprocess control based on artificial intelligence approaches, ...
Lee mas
Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases
The present volume provides a collection of seven articles containing new and high quality research results demonstrating ...
Lee mas
Multi-Objective Machine Learning
This monograph presents a selected collection of research work on multi-objective approach to machine learning, including ...
Lee mas
Multiobjective Optimization : Interactive and Evolutionary Approaches
Multiobjective optimization deals with solving problems having not only one, but multiple, often conflicting, criteria. Such ...
Lee mas
