Application of Ant Colony Optimization: An Approach towards Travelling Salesman Problem Resolution | Chapter 1 | Current Approaches in Science and Technology Research Vol. 13

 In today's society, everyone uses a vehicle for transportation, which results in a lot of air pollution, traffic, and time and fuel waste. It also causes driver unhappiness and costs billions of dollars in fuel use every year throughout the world. The dynamic and unpredictable nature of the organisation geography of vehicular situations, particularly in metropolitan zones, makes finding an acceptable solution for car clog a difficult task. The study's goal is to determine the quickest path to reduce the time spent travelling. There are several factors to consider when optimising an ant colony.The problem of the travelling salesman has been solved using a variety of ways. The purpose of this literature review is to learn how ant colony optimization methods are utilised to solve the travelling salesman issue and increase performance according to the requirements. The behaviour of ants has been seen to aid in the optimization of the ant colony algorithm. Other ants follow the pheromone trail left by the ant while walking, and ants can identify the shortest way of travel by following the pheromone trail. Similarly, the ACO is employed in TSP, where the algorithm assists in only visiting each city once with the least amount of distance and time.

Author (S) Details

Dr. Priyanka P. Shinde
Government College of Engineering Karad, Karad, Maharashtra, India.


Varsha P. Desai
Department of Studies, V.P. Institute of Management Studies & Research, Sangli, Maharashtra, India.


Dr.Kavita S. Oza
Computer Science Department, Shivaji University, Kolhapur, Maharashtra, India.


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Study on Simulation and Design of Various PI Controller for a Non-Interacting Systems: An Approach to Conventional and Computational Algorithms| Chapter 11 | Current Approaches in Science and Technology Research Vol. 1

 This study looks at a variety of traditional and computational approaches for designing a PI controller. Many of the controllers utilized in the industry are PID controllers. To control any process, a mathematical model must first be identified, then a controller must be created and simulated to obtain the desired process behavior. A lab-scale noninteracting liquid tank system is being investigated for the purposes of this study and simulation. The mathematical model of the system is identified, and different traditional methods for constructing a PI controller are used. A lab-scale noninteracting liquid tank system is being investigated for the purposes of this study and simulation. The mathematical model of the system is identified, and different traditional methods for constructing a PI controller are used. Simulink software is used to demonstrate the efficiency of various computing methods in simulation and in real time, and the simulation results of traditional algorithms are compared. Also tabulated and compared are the closed loop performance indices. The computational PI controller displays good setpoint tracking and performance in simulations.

Author (s) Details

Assistant Professor, Janani Rajaraman
Department of Electronics and Instrumentation Engineering, Sri Chandrasekharendra Saraswathi Viswa Maha Vidyalaya. Enathur, Kanchipuram, India.

Jayanth Sarangan
Department of Electronics and Instrumentation Engineering, Sri Chandrasekharendra Saraswathi Viswa Maha Vidyalaya. Enathur, Kanchipuram, India.

View Book :- https://stm.bookpi.org/CASTR-V1/article/view/1343