Автор: Dey Nilanjan, Rajinikanth V. Название: Applications of Bat Algorithm and Its Variants ISBN: 9811550999 ISBN-13(EAN): 9789811550997 Издательство: Springer Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Hence, it has attracted the attention of researchers who are working to find optimal solutions in a diverse range of domains, such as N-dimensional numerical optimization, constrained/unconstrained optimization and linear/nonlinear optimization problems.
Автор: Nilanjan Dey Название: Applications of Firefly Algorithm and its Variants ISBN: 9811503087 ISBN-13(EAN): 9789811503085 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Firefly Algorithm and its Variants in Digital Image Processing: A Comprehensive Review.- Development of firefly algorithm interface for parameter optimization of electrochemical based machining processes.- A Firefly Algorithm-based Approach for Identifying Coalitions of Energy Providers that Best Satisfy the Energy Demand.- Structural damage identification using adaptive hybride volutionary Firefly algorithm.- An automated approach for developing a Convolutional Neural Network using a modified Firefly algorithm for Image Classification.
Описание: This book presents essential concepts of traditional Flower Pollination Algorithm (FPA) and its recent variants and also its application to find optimal solution for a variety of real-world engineering and medical problems.
Описание: This book presents essential concepts of traditional Flower Pollination Algorithm (FPA) and its recent variants and also its application to find optimal solution for a variety of real-world engineering and medical problems.
Автор: Dey Nilanjan Название: Applications of Cuckoo Search Algorithm and Its Variants ISBN: 9811551626 ISBN-13(EAN): 9789811551628 Издательство: Springer Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights the basic concepts of the CS algorithm and its variants, and their use in solving diverse optimization problems in medical and engineering applications.
Автор: Dey Nilanjan, Rajinikanth V. Название: Applications of Bat Algorithm and Its Variants ISBN: 9811550964 ISBN-13(EAN): 9789811550966 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Hence, it has attracted the attention of researchers who are working to find optimal solutions in a diverse range of domains, such as N-dimensional numerical optimization, constrained/unconstrained optimization and linear/nonlinear optimization problems.
Автор: Mirjalili, Seyedali Название: Handbook of Moth-Flame Optimization Algorithm ISBN: 1032070919 ISBN-13(EAN): 9781032070919 Издательство: Taylor&Francis Рейтинг: Цена: 16078.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Sheryl Brahnam; Lakhmi C. Jain; Loris Nanni; Aless Название: Local Binary Patterns: New Variants and Applications ISBN: 3662508486 ISBN-13(EAN): 9783662508480 Издательство: Springer Рейтинг: Цена: 13677.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces Local Binary Patterns (LBP), arguably one of the most powerful texture descriptors. It also provides the latest reviews of the literature and presents some of the best LBP variants.
Автор: Raymond Chiong; Thomas Weise; Zbigniew Michalewicz Название: Variants of Evolutionary Algorithms for Real-World Applications ISBN: 3642440584 ISBN-13(EAN): 9783642440588 Издательство: Springer Рейтинг: Цена: 18237.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a comprehensive discussion of the ways that Evolutionary Algorithms can be adapted to real-world problems such as production process planning, inventory system and supply chain network optimisation, soil properties analysis and more.
Автор: Sheryl Brahnam; Lakhmi C. Jain; Loris Nanni; Aless Название: Local Binary Patterns: New Variants and Applications ISBN: 3642392881 ISBN-13(EAN): 9783642392887 Издательство: Springer Рейтинг: Цена: 17097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces Local Binary Patterns (LBP), arguably one of the most powerful texture descriptors. It also provides the latest reviews of the literature and presents some of the best LBP variants.
Автор: Castelli Название: Genetic Programming ISBN: 3319775529 ISBN-13(EAN): 9783319775524 Издательство: Springer Рейтинг: Цена: 6097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Using GP Is NEAT: Evolving Compositional Pattern Production Functions.- Evolving the Topology of Large Scale Deep Neural Networks.- Evolving Graphs by Graph Programming.- Pruning Techniques for Mixed Ensembles of Genetic Programming Models.- Analyzing Feature Importance for Metabolomics Using Genetic Programming.- Generating Redundant Features with Unsupervised Multi-Tree Genetic Programming.- On the Automatic Design of a Representation for Grammar-Based Genetic Programming.- Multi-Level Grammar Genetic Programming for Scheduling in Heterogeneous Networks.- Scaling Tangled Program Graphs to Visual Reinforcement Learning in ViZDoom.- Towards In Vivo Genetic Programming: Evolving Boolean Networks to Determine Cell States.- A Multiple Expression Alignment Framework for Genetic Programming.- Multi-Objective Evolution of Ultra-Fast General-Purpose Hash Functions.- A Comparative Study on Crossover in Cartesian Genetic Programming.- Evolving Better RNAfold Structure Prediction.- Geometric Crossover in Syntactic Space.- Investigating A Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling.- Structurally Layered Representation Learning: Towards Deep Learning Through Genetic Programming.- Comparing Rule Evaluation Metrics for the Evolutionary Discovery of Multi-Relational Association Rules in the Semantic Web.- Genetic Programming Hyperheuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling.
Описание: This book presents a new meta-heuristic algorithm, inspired by the self-defense mechanisms of plants in nature. Numerous published works have demonstrated the various self-defense mechanisms (survival strategies) plants use to protect themselves against predatory organisms, such as herbivorous insects. The proposed algorithm is based on the predator–prey mathematical model originally proposed by Lotka and Volterra, consisting of two nonlinear first-order differential equations, which allow the growth of two interacting populations (prey and predator) to be modeled. The proposed meta-heuristic is able to produce excellent results in several sets of benchmark optimization problems. Further, fuzzy logic is used for dynamic parameter adaptation in the algorithm.
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