Nature-Inspired Computing and Optimization: Theory and ApplicationsSrikanta Patnaik, Xin-She Yang, Kazumi Nakamatsu Springer, 07/03/2017 - 494 من الصفحات The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from topology control and morphological filters to nutritional meal design and antenna array design. There are a few theoretical chapters comparing different existing techniques, exploring the advantages of nature-inspired computing over other methods, and investigating the mixing time of genetic algorithms. The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization. This timely book is intended as a practice-oriented reference guide for students, researchers and professionals. |
المحتوى
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Multimodal Function Optimization Using an Improved Bat Algorithm in NoiseFree and Noisy Environments | 28 |
Multiobjective Ant Colony Optimisation in Wireless Sensor Networks | 50 |
Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence | 79 |
Limiting Distribution and Mixing Time for Genetic Algorithms | 95 |
Permutation Problems Genetic Algorithms and Dynamic Representations | 123 |
Hybridization of the Flower Pollination AlgorithmA Case Study in the Problem of Generating Healthy Nutritional Meals for Older Adults | 151 |
Natureinspired Algorithmbased Optimization for Beamforming of Linear Antenna Array System | 184 |
Ant Colony Optimization for Semantic Searching of Distributed Dynamic Multiclass Resources | 276 |
Adaptive Virtual Topology Control Based on Attractor Selection | 305 |
CBOBased TDR Approach for Wiring Network Diagnosis | 329 |
An Inspiration from Natural Geometrical Erosion and Dilation | 349 |
Brain Action Inspired Morphological Image Enhancement | 380 |
A Hybrid Approach Using Cuckoo Search and Bat Algorithm | 409 |
An Improved Spider Monkey Optimization for Solving a Convex Economic Dispatch Problem | 425 |
ChanceConstrained Fuzzy Goal Programming with Penalty Functions for Academic Resource Planning in University Management Using Genetic Al... | 449 |
MultiAgent Optimization of ResourceConstrained Project Scheduling Problem Using NatureInspired Computing | 217 |
Application of Learning Classifier Systems to Gene Expression Analysis in Synthetic Biology | 247 |
A Review of Algorithms | 475 |