Applications of Nature-Inspired Computing and Optimization Techniques

Language: English

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562 p. · 15x22.8 cm · Hardback
Advances in Computers, Volume 135 highlights advances in the field, with this new volume, Applications of Nature-inspired Computing and Optimization Techniques presenting interesting chapters on a variety of timely topics, including A Brief Introduction to Nature-inspired Computing, Optimization and Applications, Overview of Non-linear Interval Optimization Problems, Solving the Aircraft Landing Problem using the Bee Colony Optimization (BCO) Algorithm, Situation-based Genetic Network Programming to Solve Agent Control Problems, Small Signal Stability Enhancement of Large Interconnected Power System using Grasshopper Optimization Algorithm Tuned Power System Stabilizer, Air Quality Modelling for Smart Cities of India by Nature Inspired AI ? A Sustainable Approach, and much more.

Other sections cover Genetic Algorithm for the Optimization of Infectiological Parameter Values under Different Nutritional Status, A Novel Influencer Mutation Strategy for Nature-inspired Optimization Algorithms to Solve Electricity Price Forecasting Problem, Recent Trends in Human and Bio Inspired Computing: Use Case Study from Retail Perspective, Domain Knowledge Enriched Summarization of Legal Judgment Documents via Grey Wolf Optimization, and a host of other topics.
1. A Brief Introduction to Nature-inspired Computing, Optimization and Applications
Anupam Biswas
2. Overview of Non-linear Interval Optimization Problems
Vinay Yadav
3. Solving the Aircraft Landing Problem using the Bee Colony Optimization (BCO) Algorithm
Miloš Nikolic, Dusan Teodorovic and Jasenka Rakas
4. Situation-based Genetic Network Programming to Solve Agent Control Problems
Mohamad Roshanzamira
5. Small Signal Stability Enhancement of Large Interconnected Power System using Grasshopper Optimization Algorithm Tuned Power System Stabilizer
Prasenjit Dey
6. Air Quality Modelling for Smart Cities of India by Nature Inspired AI – A Sustainable Approach
Nishant Raj Kapoor
7. Genetic Algorithm for the Optimization of Infectiological Parameter Values under Different Nutritional Status
Zakir Hussain
8. A Novel Influencer Mutation Strategy for Nature-inspired Optimization Algorithms to Solve Electricity Price Forecasting Problem
Priyanka Singh and Rahul Kottath
9. Recent Trends in Human and Bio Inspired Computing: Use Case Study from Retail Perspective
Karthikeyan Vaiapury
10. Domain Knowledge Enriched Summarization of Legal Judgment Documents via Grey Wolf Optimization
Deepali Jain, Malaya Dutta Borah and Anupam Biswas
11. Bio-Intelligent computing and optimization techniques for developing computerized solutions
Mamatha Gs
12. Optimizing the Feature Selection Methods using a Novel Approach Inspired by the TLBO Algorithm for Student Performance Prediction
Suja Jayachandran
13. Applying Evolutionary Methods for the Optimization of an Intrusion Detection System to Detect Anomalies in Network Traffic Flows
A.M. Mora
14. Modified Grey Wolf Optimization in user scheduling and antenna selection in MU-MIMO Uplink System
Prabina Pattanayak
15. Spectral Efficiency Optimization by the Application of Metaheuristic Optimization Techniques
Prabina Pattanayak
16. An effective Genetic Algorithm for Solving Traveling Salesman Problem with Group Theory
Rahul Chandra Kushwaha
17. Adaptation of Nature Inspired Optimization Algorithms for Deep Learning
Yeshwant Singh
18. Long Short-Term Memory Tuning by Enhanced Harris Hawks Optimization Algorithm for Crude Oil Price Forecasting
Nebojsa Bacanin
19. Artificial Neural Network Optimized with PSO to Estimate the Interfacial Properties between FRP and Concrete Surface
Aman Kumar
20. Discovering the Characteristic Set of Metaheuristic Algorithm to Adapt with ANFIS Model
Shirmohammad Tavangari
  • Includes algorithm specific studies that cover basic introduction and analysis of key components of algorithms, such as convergence, solution accuracy, computational costs, tuning, and control of parameters
  • Comprises some of the major applications of different domains
  • Presents application specific studies, incorporating ways of designing objective functions, solution representation, and constraint handling