Search Results - evolutionary (algorithm OR algorithms)

Numerical and Evolutionary Optimization by Lara, Adriana, Quiroz, Marcela, Schütze, Oliver, Mezura-Montes, Efrén

Subjects: “…improvement differential evolution algorithm…”
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Optimization Methods Applied to Power Systems: Volume 1 by Montoya, Francisco G., Baños Navarro, Raúl

Subjects: “…evolutionary algorithms…”
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Optimization Methods Applied to Power Systems: Volume 2 by Montoya, Francisco G., Baños Navarro, Raúl

Subjects: “…evolutionary algorithms…”
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Short-Term Load Forecasting by Artificial Intelligent Technologies by Wei-Chiang Hong (Ed.), Guo-Feng Fan (Ed.), Ming-Wei Li (Ed.)

Subjects: “…evolutionary algorithms…”
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Frontiers in Evolutionary Robotics

“…Many researchers have been studying the techniques for evolutionary robotics by using Evolutionary Computation (EC), such as Genetic Algorithms (GA) or Genetic Programming (GP). …”
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Advances in Evolutionary Algorithms

“…With the recent trends towards massive data sets and significant computational power, combined with evolutionary algorithmic advances evolutionary computation is becoming much more relevant to practice. …”
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Theory and Novel Applications of Machine Learning

“…ML involves broad topics including Fuzzy Logic, Neural Networks (NNs), Evolutionary Algorithms (EAs), Probability and Statistics, Decision Trees, etc. …”
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Particle Swarm Optimization

“…Particle swarm optimization (PSO) is a population based stochastic optimization technique influenced by the social behavior of bird flocking or fish schooling.PSO shares many similarities with evolutionary computation techniques such as Genetic Algorithms (GA). …”
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Evolutionary Computation

“…This book presents several recent advances on Evolutionary Computation, specially evolution-based optimization methods and hybrid algorithms for several applications, from optimization and learning to pattern recognition and bioinformatics. …”
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New Achievements in Evolutionary Computation

“…During this time, new metaheuristic optimization approaches, like evolutionary algorithms, genetic algorithms, swarm intelligence, etc., were being developed and new fields of usage in artificial intelligence, machine learning, combinatorial and numerical optimization, etc., were being explored. …”
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Robot Learning

“…It gives a focused introduction to the primary themes in a Robot learning course and demonstrates the relevance and practicality of various Machine Learning algorithms to a wide variety of real-world applications from evolutionary techniques to reinforcement learning, classification, control, uncertainty and many other important fields. …”
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Traveling Salesman Problem

“…This book is a collection of current research in the application of evolutionary algorithms and other optimal algorithms to solving the TSP problem. …”
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Advances in Theory and Applications of Stereo Vision

“…The topics covered in this book encapsulate research trends from fundamental theoretical aspects of robust stereo correspondence estimation to the establishment of novel and robust algorithms as well as applications in a wide range of disciplines. …”
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Real-World Applications of Genetic Algorithms

“…The book presents hybrid techniques based on Artificial Neural Network, Fuzzy Sets, Automata Theory, other metaheuristic or classical algorithms, etc. The book examines various examples of algorithms in different real-world application domains as graph growing problem, speech synthesis, traveling salesman problem, scheduling problems, antenna design, genes design, modeling of chemical and biochemical processes etc.…”
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Genetic Algorithms in Applications

“…Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - algorithms that search for solutions to optimization problems by "evolving" better and better solutions. …”
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Recent Advances on Meta-Heuristics and Their Application to Real Scenarios

“…Emphasis is placed on evolutionary algorithms and swarm intelligence as computational means to efficiently balance the tradeoff between optimality of the produced solutions and the complexity derived from their estimation. …”
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Nature-inspired Methods for Stochastic, Robust and Dynamic Optimization

“…Topics covered by this book include the design and development of evolutionary algorithms, bio-inspired metaheuristics, or memetic methods, with empirical, innovative findings when used in different subfields of mathematical optimization, such as stochastic, dynamic, multimodal and robust optimization, as well as noisy optimization and dynamic and constraint satisfaction problems.…”
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Artificial Neural Networks and Evolutionary Computation in Remote Sensing

“…For this purpose, evolutionary algorithms become the best solution for analysis. …”
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Symmetry in Renewable Energy and Power Systems

Subjects: “…evolutionary algorithms…”
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Statistical Machine Learning for Human Behaviour Analysis

Subjects: “…multi-objective evolutionary algorithms…”
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