Author Description

Optimization problems are real world problems we encounter in many areas such as mathematics, engineering, science, business, and economics, e.g. in product and process design, production, traffic control, scheduling and even strategic planning. Optimization is a discipline of dealing with those kinds of problems where one has to minimize or maximize one or more objectives that are functions of some integer or real variables without exploiting the given constraints. For decades' scientists are researching to emerge out with modified and faster techniques. In this book, history of Optimization as well as various optimization techniques like genetic algorithm, ant colony optimization, pattern search, particle swarm optimization, Artificial Bee Colony, Simulated Annealing & Hybrid Optimization techniques have been discussed for solving various optimization problems. Due to the various optimization techniques, available nowadays the solution of every complex problems can be done in acceptable times. The results confirm superior performance of the proposed algorithms in solving many real-world problems. Therefore, Optimization is a mathematical tool to find the maximum or minimum of a function in some feasible region. There is no any industry which is not involved in the solution of optimization problems. In the operational planning of power system, Economic load dispatch (ELD) is a common task which concern with the optimization problems. The objective of ELD problem is to schedule the output of the connected units of the plant so as to fulfil the load demand at minimum operating cost while satisfying all operational constraints. Here, Genetic Algorithm & Simulated Annealing have been implemented to solve ELD problem for IEEE 5, 6, 14 bus system, Standard 15 & 20 Unit thermal generating system. Economic load dispatch problem is one of the most important ones in the power system operation and planning. The main objective of the economic load dispatch problem is to determ