Pandian Vasant

The application of contemporary and emerging operational research optimization methods in renewable energy is vital to creating and maintaining sustainable environments across...

In the current era, there are many environmental and energy challenges facing the agricultural sector, which negatively impact the climate, business, industry, and society....

The perception of smart cities encompasses a strategy that uses different types of technologies, artificial intelligence (AI), and machine learning and in which, through the...

As environmental issues remain at the forefront of energy research, renewable energy is now an all-important field of study. And as smart technology continues to grow and be...

The increasing complexity of engineering systems has spurred the development of highly efficient optimization techniques. This chapter focuses on two novel optimization...

Quantum computing-inspired metaheuristic algorithms have emerged as a powerful computational tool to solve nonlinear optimization problems. In this paper, a quantum-behaved bat...

This Preface is included in the book Handbook of Research on Energy-Saving Technologies for Environmentally-Friendly Agricultural Development.

Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method...

This Preface is included in the book Handbook of Research on Smart Computing for Renewable Energy and Agro-Engineering.

This Foreword is included in the book Multi-Objective Optimization of Industrial Power Generation Systems: Emerging Research and Opportunities.

Engineering systems are currently plagued by various complexities and uncertainties. Metaheuristics have emerged as an essential tool for effective engineering design and...

Well placement optimization is one of the major challenging factors in the field development process in the oil and gas industry. This chapter aims to survey prominent...

Total organic carbon (TOC) is the most significant factor for shale oil and gas exploration and development which can be used to evaluate the hydrocarbon generation potential of...

As industrial systems become more complex, various complexities and uncertainties come into play. Metaheuristic-type optimization techniques have become crucial for effective...

Due to a variety of possible good types and so many complex drilling variables and constraints, optimization of the trajectory of a complex wellbore is very challenging. There...

Electrification of Transportation has undergone major modifications since the last decade. Success of combining smart grid technology and renewable energy exclusively depends...

Advances in machine learning techniques and ever-increasing computing power has helped create a new generation of hardware and software technologies with practical applications...

Stroke is the leading cause of disability that influences the quality of people's daily life. As such, an effective method is required for post-stroke rehabilitation....

Economic emission dispatch (EED) problems are one of the most crucial problems in power systems. Growing energy demand, limited reserves of fossil fuel and global warming make...

Quantum computing-inspired metaheuristic algorithms have emerged as a powerful computational tool to solve nonlinear optimization problems. In this paper, a quantum-behaved bat...

This paper proposes a hybrid differential evolution (DE) and harmony search (HS) for solving optimal power flow (OPF) problem with FACTS devices including static Var compensator...

Application of machine learning tools in drilling hydrocarbon well is still exploratory in its stage. This chapter presents a brief review of various applied research in drilling...

The concept of a multireservoir systems in hydropower introduces the function of multiple units simultaneously to reach the peak requirements. The reservoir optimized operation...

Metaheuristics has become a top research area. Numerous optimization problems have been solved by metaheuristics as they showed comprehensive improvements to solve these...

Developing countries need access to the technological advancements of the modern world in order to apply these advancements to their small-scale operations. Applying newly...

This Preface is included in the book Renewable Energy and Power Supply Challenges for Rural Regions.

The chapter considers the factors that affect the incomplete use of power. The analysis and systematization of accumulating systems on the types of accumulated energy, on the...

One of the most popular applications of artificial intelligence within the medical field is developing medical diagnosis systems. Because artificial-intelligence-based techniques...

Modern optimization approaches have attracted an increasing number of scientists, decision makers, and researchers. As new issues in this field emerge, different optimization...

This title is an IGI Global Core Reference for 2019 as it is one of the best-selling reference books of 2018 within the Environmental, Agricultural, and Physical Sciences subject...

This chapter examines hotel yield management from a game perspective using a duopoly situation of two hotels. The hotel yield management determines strategies by considering the...

In the distribution system, distributed generation (DG) are getting more important because of the electricity demands, fossil fuel depletion and environment concerns. The...

This chapter is devoted to main tendencies of optimization in photovoltaic (PV) engineering showing the main trends in modern energy transition - the changes in the composition...

The electricity demand, fossil fuel depletion and environment issues increase the interest of power engineers to integrate small power generations i.e. called distributed...

Modern studies on green technologies for transportation sector are attaining attraction among the research communities from diverse parts. We learn the significance of plug-in...

The increasing complexity of engineering systems has spurred the development of highly efficient optimization techniques. Stochastic engines or random number generators are...

Solar energy is used for electricity production by means of photovoltaic modules and for heat supply by means of solar water-heating collectors. In recent years, combined...

One of the most popular applications of artificial intelligence within the medical field is developing medical diagnosis systems. Because artificial-intelligence-based techniques...

The application of holistic optimization methods in the tourism, travel, and hospitality industry has improved customer service and business strategies within the field. By...

This chapter examines hotel yield management from a game perspective using a duopoly situation of two hotels. The hotel yield management determines strategies by considering the...

Design optimization has been commonly practiced for many years across various engineering disciplines. Optimization per se is becoming a crucial element in industrial...

Transport electrification has experienced major deviations for the last few decades. Current investigation towards the implication of green technologies to decrease pollution and...

Modern studies on green technologies for transportation sector are attaining attraction among the research communities from diverse parts. We learn the significance of plug-in...

Economic emission dispatch (EED) problems are one of the most crucial problems in power systems. Growing energy demand, limited reserves of fossil fuel and global warming make...

This paper presents a new approach for solving optimal placement of distributed generation (OPDG) problem in distribution systems for minimizing active power loss. In this...

Modern optimization approaches have attracted many research scientists, decision makers and practicing researchers in recent years as powerful intelligent computational...

This Preface is included in the book Sustaining Power Resources through Energy Optimization and Engineering.

This chapter is devoted to main tendencies of optimization in photovoltaic (PV) engineering showing the main trends in modern energy transition - the changes in the composition...

Electrification of Transportation has undergone major modifications since the last decade. Success of combining smart grid technology and renewable energy exclusively depends...

Multi objective (MO) optimization is an emerging field which is increasingly being implemented in many industries globally. In this work, the MO optimization of the extraction...

Stroke is the leading cause of disability that influences the quality of people's daily life. As such, an effective method is required for post-stroke rehabilitation....

This Foreword is included in the book Artificial Intelligence Applications in Distance Education.

For decades, optimization methods such as Fuzzy Logic, Artificial Neural Networks, Firefly, Simulated annealing, and Tabu search, have been capable of handling and tackling a...

In this chapter, Gravitational Search Algorithm (GSA) and Particle Swarm Optimization (PSO) technique were applied for intelligent allocation of energy to the Plug-in Hybrid...

As technologies grow more complex, modeling and simulation of new intelligent systems becomes increasingly challenging and nuanced; specifically in diverse fields such as...

This chapter provides a review of new hybrid methods that deal with the continuous local and global optimization problems for constrained industrial production planning problems....

In engineering optimization, one often encounters scenarios that are multiobjective (MO) where each of the objectives covers different aspects of the problem. It is hence...

The novel industrial manufacturing sector inevitably faces problems of uncertainty in various aspects such as raw material availability, human resource availability, processing...

Many industrial problems in process optimization are Multi-Objective (MO), where each of the objectives represents different facets of the issue. Thus, having in hand multiple...

In this paper, the details on the optimization methods such as line search and simulated annealing for the local and global optimization have been highlighted. The hybrid line...

Optimization techniques have developed into a significant area concerning industrial, economics, business, and financial systems. With the development of engineering and...

Production control, planning, and scheduling are forms of decision making, which play a crucial role in manufacturing industries. In the current competitive environment...

This chapter outlines an introduction to real-world industrial problem for product-mix selection involving eight variables and twenty one constraints with fuzzy technological...

In this chapter, the main significant contributions of a new non-linear membership function using fuzzy approach to capture and describe vagueness in the technological...

The International Journal of Energy Optimization and Engineering (IJEOE) publishes global research in the areas of energy optimization and engineering. This journal provides...

Developing a system that can cope with variations of system or control parameters, measurement uncertainty, and complex, multi-objective optimization criteria is a frequent...

In this chapter a solution is proposed to a certain nonlinear programming difficulties related to the presence of uncertain technological coefficients represented by vague...

Many engineering, science, information technology and management optimization problems can be considered as non linear programming real world problems where the all or some of...

The fuzzy technology reveals that everything is a matter of degree. At the moment, many industrial production problems are solved by operational research optimization techniques...

In this chapter, three meta-heuristic optimization techniques have been utilized to solve the fuzzy programming problems in industrial production systems. This chapter outlines...

Production control, planning, and scheduling are forms of decision making, which play a crucial role in manufacturing industries. In the current competitive environment...

Many engineering, science, information technology and management optimization problems can be considered as non linear programming real world problems where the all or some of...

This chapter proposes a new method to obtain optimal solution using satisfactory approach in uncertain environment. The optimal solution is obtained by using possibilistic linear...

Fuzzy logic (FL) is a mathematical technique for dealing with imprecise data and problems that have many solutions rather than one. Although it is implemented in digital...

This chapter demonstrates development of a novel compromise linear programming having fuzzy resources (CLPFR) model as well as its simulation for a theory-of-constraints’ (TOC)...