Constraint Handling in Metaheuristics and Applications

Chapter 1. An improved Cohort Intelligence with Panoptic Learning Behavior for solving constrained problems.- Chapter 2. Online Landscape Analysis for Guiding Constraint Handling in Particle Swarm Optimisation.- Chapter 3. Constrained Array Synthesis Techniques using novel metaheuristics. Chapter 3. An Algorithm to Select a Fractional Order Model Using Metaheuristic Approach.- Chapter 5. Implementation of Fractional PID Controller for Surface Roughness Generation in Machining Nanocomposites using Cohort Intelligence.- Chapter 6. Recent Advances in Constraint Handling of Mechanism Synthesis.- Chapter 7. Application of Metaheuristic Algorithms for Feature Selection.- Chapter 8. Different Constraint Handling Methods Affections on The Performance of Particle Swarm Optimization Algorithm.

Anand J Kulkarni holds a PhD in Distributed Optimization from Nanyang Technological University, Singapore, MS in Artificial Intelligence from University of Regina, Canada, Bachelor of Engineering from Shivaji University, India and Diploma from the Board of Technical Education, Mumbai. He worked as a Research Fellow on a Cross-border Supply-chain Disruption project at Odette School of Business, University of Windsor, Canada. Anand was Chair of the Mechanical Engineering Department at Symbiosis International (Deemed University) (SIU), Pune, India for three years. Currently, he is Associate Professor at the Symbiosis Center for Research and Innovation, SIU. His research interests include optimization algorithms, multi-objective optimization, continuous, discrete and combinatorial optimization, multi-agent systems, complex systems, probability collectives, swarm optimization, game theory, self-organizing systems and fault-tolerant systems. Anand pioneered socio-inspired optimization methodologies such as Cohort Intelligence, Ideology Algorithm, Expectation Algorithm, Socio Evolution & Learning Optimization algorithm. He is the founder and chairman of the Optimization and Agent Technology (OAT) Research Lab and has published over 60 research papers in peer-reviewed journals, chapters and conferences along with 4 authored and 5 edited books.Dr Efrén Mezura-Montes is a full-time researcher with the Artificial Intelligence Research Center at the University of Veracruz, MEXICO. His research interests are the design, analysis and application of bio-inspired algorithms to solve complex optimization problems. He has published over 150 papers in peer-reviewed journals and conferences. He also has one edited book and over 11 book chapters published by international publishing companies. From his work, Google Scholar reports over 6,900 citations. Dr Mezura-Montes is a member of the editorial board of the journals: "Swarm and Evolutionary Computation", "Complex &