Applied Nature-Inspired Computing: Algorithms and Case Studies
β Scribed by Nilanjan Dey, Amira S. Ashour, Siddhartha Bhattacharyya
- Publisher
- Springer Singapore
- Year
- 2020
- Tongue
- English
- Leaves
- 281
- Series
- Springer Tracts in Nature-Inspired Computing
- Edition
- 1st ed. 2020
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications. It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems. In turn, it provides an overview of meta-heuristic algorithms, comparing the advantages and disadvantages of each.
Moreover, the book provides a brief outline of the integration of nature-inspired computing techniques and various computational intelligence paradigms, and highlights nature-inspired computing techniques in a range of applications, including: evolutionary robotics, sports training planning, assessment of water distribution systems, flood simulation and forecasting, traffic control, gene expression analysis, antenna array design, and scheduling/dynamic resource management.
β¦ Table of Contents
Front Matter ....Pages i-xii
Particle Swarm Optimization of Morphological Filters for Electrocardiogram Baseline Drift Estimation (Mahdi Khosravy, Neeraj Gupta, Nilesh Patel, Tomonobu Senjyu, Carlos A. Duque)....Pages 1-21
Detection of Breast Cancer Using Fusion of MLO and CC View Features Through a Hybrid Technique Based on Binary Firefly Algorithm and Optimum-Path Forest Classifier (S. Sasikala, M. Ezhilarasi, S. Arun Kumar)....Pages 23-40
Recommending Healthy Personalized Daily MenusβA Cuckoo Search-Based Hyper-Heuristic Approach (Cristina Bianca Pop, Viorica Rozina Chifu, Nicolae Dragoi, Ioan Salomie, Emil Stefan Chifu)....Pages 41-70
A Hybrid Bat-Inspired Algorithm for Power Transmission Expansion Planning on a Practical Brazilian Network (C. A. Moraes, E. J. De Oliveira, M. Khosravy, L. W. Oliveira, L. M. HonΓ³rio, M. F. Pinto)....Pages 71-95
An Application of Binary Grey Wolf Optimizer (BGWO) Variants for Unit Commitment Problem (Srikanth Reddy, Lokesh Panwar, B. K. Panigrahi, Rajesh Kumar, Ameena Saad AlSumaiti)....Pages 97-127
Sensorineural Hearing Loss Identification via Discrete Wavelet Packet Entropy and Cat Swarm Optimization (Shui-Hua Wang, Ming Yang, Shuai Liu, Yu-Dong Zhang)....Pages 129-150
Chaotic Variants of Grasshopper Optimization Algorithm and Their Application to Protein Structure Prediction (Akash Saxena, Rajesh Kumar)....Pages 151-175
Examination of Retinal Anatomical StructuresβA Study with Spider Monkey Optimization Algorithm (V. Rajinikanth, Hong Lin, John Panneerselvam, N. Sri Madhava Raja)....Pages 177-197
Nature-Inspired Metaheuristics Search Algorithms for Solving the Economic Load Dispatch Problem of Power System: A Comparison Study (Alaa Sheta, Hossam Faris, Malik Braik, Seyedali Mirjalili)....Pages 199-230
ParallelβSeries System Optimization by Weighting Sum Methods and Nature-Inspired Computing (Mohamed Arezki Mellal, Abdellah Salhi)....Pages 231-251
Development of Artificial Neural Networks Trained by Heuristic Algorithms for Prediction of Exhaust Emissions and Performance of a Diesel Engine Fuelled with Biodiesel Blends (Quang Hung Do, Tran Trong Tuan, Luu Thi Thu Ha, Thi Thanh Hang Doan, Thi Van Anh Nguyen, Le Thanh Tan)....Pages 253-275
β¦ Subjects
Engineering; Computational Intelligence; Algorithm Analysis and Problem Complexity; Mathematics of Computing
π SIMILAR VOLUMES
<p>Nature-inspired computation and swarm intelligence have become popular and effective tools for solving problems in optimization, computational intelligence, soft computing and data science. Recently, the literature in the field has expanded rapidly, with new algorithms and applications emerging.<
<p><p>This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case s