Applied Nature-Inspired Computing: Algorithms and Case Studies

Description

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. 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 Menus—A 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. Honório, 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 Structures—A 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 Parallel–Series 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