Jitendra Kumar Pandey

Swarm intelligence is one of the fastest growing subfields of artificial intelligence and soft computing. This field includes multiple optimization algorithms to solve NP-hard problems for which conventional methods are not effective. It inspires researchers in engineering sciences to learn theories from nature and incorporate them.Swarm Intelligence: Foundation, Principles, and Engineering Applications provides a comprehensive review of new swarm intelligence techniques and offers practical implementation of Particle Swarm Optimization (PSO) with MATLAB code. The book discusses the statistical analysis of swarm optimization techniques so that researchers can analyse their experiment design. It also includes algorithms in social sectors, oil and gas industries, and recent research findings of new optimization algorithms in the field of engineering describing the implementation in machine learning. This book is written for students of engineering, research scientists, and academicians involved in the engineering sciences.

Disposal and Recycling Strategies for Nano-engineered Materials enables the reader to understand and implement the latest methods for the safe disposal and re-use of nanomaterials found in the environment at end-of-life. Sections introduce nanomaterials, their general classification, properties, and preparation techniques before providing an overview and analysis of common disposal strategies. This is followed by in-depth chapters that focus on important steps and innovative strategies in dealing with waste nanomaterials, including sampling, classification and identification of waste materials, green technologies and biodegradation strategies, physico-chemical disposal, integrated technologies to prevent or control nanomaterial wastes entering the environment, and more. This is a valuable resource for researchers, advanced students, engineers, and scientists, with an interest in nanomaterials, their life cycle, waste, and recycling, water treatment, chemical engineering, environmental science, materials science, chemistry, and sustainability.

Swarm intelligence is one of the fastest growing subfields of artificial intelligence and soft computing. This field includes multiple optimization algorithms to solve NP-hard problems for which conventional methods are not effective. It inspires researchers in engineering sciences to learn theories from nature and incorporate them.Swarm Intelligence: Foundation, Principles, and Engineering Applications provides a comprehensive review of new swarm intelligence techniques and offers practical implementation of Particle Swarm Optimization (PSO) with MATLAB code. The book discusses the statistical analysis of swarm optimization techniques so that researchers can analyse their experiment design. It also includes algorithms in social sectors, oil and gas industries, and recent research findings of new optimization algorithms in the field of engineering describing the implementation in machine learning. This book is written for students of engineering, research scientists, and academicians involved in the engineering sciences.