Metaheuristic optimization techniques have successfully been used to solve the Optimal
Power Flow (OPF) problem, addressing the shortcomings of mathematical optimization …

Particle swarm optimization (PSO) is a population-based stochastic optimization algorithm
motivated by intelligent collective behavior of some animals such as flocks of birds or …

Path planning is one of the most important steps in the navigation and control of Unmanned
Aerial Vehicles (UAVs). It ensures an optimal and collision-free path between two locations …

In this paper, a novel metaheuristic algorithm called Social Network Search (SNS) is
developed for solving optimization problems. The SNS algorithm simulates the attempts of …

Biogeography is the study of the geographical distribution of biological organisms.
Mathematical equations that govern the distribution of organisms were first discovered and …

This work aims to provide a broad overview of computational techniques belonging to the
area of artificial intelligence tailored for identification of nonlinear dynamical systems. Both …

This paper presents an improved genetic algorithm using novel crossover and mutation (IGA-
NCM) to solve the combined heat and power economic dispatch (CHPED) problems. The …

Public clouds provide Infrastructure as a Service (IaaS) to users who do not own sufficient
compute resources. IaaS achieves the economy of scale by multiplexing, and therefore …

A heuristic particle swarm ant colony optimization (HPSACO) is presented for optimum
design of trusses. The algorithm is based on the particle swarm optimizer with passive …

Tuned mass dampers are robust tools that can control the undesired vibrations induced by
wind and earthquakes. Although vibration control systems such as tuned mass dampers …