"This book explores the concept of genetic programming (GP), as supervised machine learning (ML) technique, from the theory to the computer implementation and, from the implementation to the application, and presents the complete process of using such ML technique in some real-world engineering...

"This book explores how to optimize power system performance by analyzing a number of power system optimization problems such as optimal power flow (OPF) and OPF incorporating flexible AC transmission system (FACTS), optimal reactive power dispatch (ORPD) incorporating FACTS, optimal location of...

Given a settled reduction in the present level of tax revenue, and by exploring a very large combinatorial space of tax structures, in this paper we employ a genetic algorithm in order to determine the ‘best' structure of a real world personal income tax that allows for the maximization of the...

Combinatorial optimization problems are usually NP-hard and the solution space of them is very large. Therefore the set of feasible solutions cannot be evaluated one by one. Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) are metaheuristic techniques...

Dijkstra's algorithm (named after its discover, E.W. Dijkstra) solves the problem of finding the shortest path from a point in a graph (the source) to a destination. It turns out that one can find the shortest paths from a given source to all points in a graph in the same time, hence this...