Mutation Particle Swarm Optimization for Multilayer Perceptron Training with Applications PDF Download
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Author: Jing Wu
Publisher:
ISBN:
Category : Mathematical optimization
Languages : en
Pages : 84
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Book Description
Author: Jing Wu
Publisher:
ISBN:
Category : Mathematical optimization
Languages : en
Pages : 84
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Book Description
Author: Seyedali Mirjalili
Publisher:
ISBN:
Category : Neural networks (Computer science)
Languages : en
Pages : 112
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Book Description
Author: Alex Lazinica
Publisher: BoD – Books on Demand
ISBN: 9537619486
Category : Computers
Languages : en
Pages : 490
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Book Description
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). The system is initialized with a population of random solutions and searches for optima by updating generations. However, unlike GA, PSO has no evolution operators such as crossover and mutation. In PSO, the potential solutions, called particles, fly through the problem space by following the current optimum particles. This book represents the contributions of the top researchers in this field and will serve as a valuable tool for professionals in this interdisciplinary field.
Author: Hung Tan Nguyen
Publisher: World Scientific
ISBN: 1908977078
Category : Computers
Languages : en
Pages : 318
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Book Description
This book focuses on computational intelligence techniques and their applications — fast-growing and promising research topics that have drawn a great deal of attention from researchers over the years. It brings together many different aspects of the current research on intelligence technologies such as neural networks, support vector machines, fuzzy logic and evolutionary computation, and covers a wide range of applications from pattern recognition and system modeling, to intelligent control problems and biomedical applications. Fundamental concepts and essential analysis of various computational techniques are presented to offer a systematic and effective tool for better treatment of different applications, and simulation and experimental results are included to illustrate the design procedure and the effectiveness of the approaches./a
Author: Fei-yue Wang
Publisher: World Scientific
ISBN: 9814478288
Category : Technology & Engineering
Languages : en
Pages : 478
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Book Description
Computational Intelligence (CI) is a recently emerging area in fundamental and applied research, exploiting a number of advanced information processing technologies that mainly embody neural networks, fuzzy logic and evolutionary computation. With a major concern to exploiting the tolerance for imperfection, uncertainty, and partial truth to achieve tractability, robustness and low solution cost, it becomes evident that composing methods of CI should be working concurrently rather than separately. It is this conviction that research on the synergism of CI paradigms has experienced significant growth in the last decade with some areas nearing maturity while many others remaining unresolved. This book systematically summarizes the latest findings and sheds light on the respective fields that might lead to future breakthroughs.
Author: Burcu Adıgüzel Mercangöz
Publisher: Springer Nature
ISBN: 3030702812
Category : Business & Economics
Languages : en
Pages : 355
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Book Description
This book explains the theoretical structure of particle swarm optimization (PSO) and focuses on the application of PSO to portfolio optimization problems. The general goal of portfolio optimization is to find a solution that provides the highest expected return at each level of portfolio risk. According to H. Markowitz’s portfolio selection theory, as new assets are added to an investment portfolio, the total risk of the portfolio’s decreases depending on the correlations of asset returns, while the expected return on the portfolio represents the weighted average of the expected returns for each asset. The book explains PSO in detail and demonstrates how to implement Markowitz’s portfolio optimization approach using PSO. In addition, it expands on the Markowitz model and seeks to improve the solution-finding process with the aid of various algorithms. In short, the book provides researchers, teachers, engineers, managers and practitioners with many tools they need to apply the PSO technique to portfolio optimization.
Author: Venu Gopal Gudise
Publisher:
ISBN:
Category : Swarm intelligence
Languages : en
Pages : 166
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Book Description
"Particle Swarm Optimization (PSO) is an evolutionary computation technique similar to genetic algorithm, which is a population (swarm) based optimization tool. PSO starts with a population of random solutions called particles. Each particle is given a random velocity and is flown through the problem space. The particles work together to achieve a global task. The best particle of the entire swarm is taken as the final solution to the task. In this thesis, three problems are studied using the PSO; their results are presented, compared and contrasted with results obtained using conventional techniques."--Abstract, p. iii.
Author: Dash, Sujata
Publisher: IGI Global
ISBN: 152252858X
Category : Computers
Languages : en
Pages : 567
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Book Description
The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems. The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been inspired by the natural world. Featuring coverage on diverse topics such as cellular automata, simulated annealing, genetic programming, and differential evolution, this reference publication is ideal for scientists, biological engineers, academics, students, and researchers that are interested in discovering what models from nature influence the current technology-centric world.
Author: Christian Blum
Publisher: Springer Science & Business Media
ISBN: 3540740899
Category : Computers
Languages : en
Pages : 284
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Book Description
The book’s contributing authors are among the top researchers in swarm intelligence. The book is intended to provide an overview of the subject to novices, and to offer researchers an update on interesting recent developments. Introductory chapters deal with the biological foundations, optimization, swarm robotics, and applications in new-generation telecommunication networks, while the second part contains chapters on more specific topics of swarm intelligence research.
Author: Parsopoulos, Konstantinos E.
Publisher: IGI Global
ISBN: 1615206671
Category : Business & Economics
Languages : en
Pages : 328
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Book Description
"This book presents the most recent and established developments of Particle swarm optimization (PSO) within a unified framework by noted researchers in the field"--Provided by publisher.
