The objective of this article is to review how Artificial Intelligence (AI) tools have helped the
process of formulating agricultural public policies in the world. For this, a search process …

This paper proposes an integrated electric vehicle (EV) charging navigation framework,
which takes into consideration the impacts from both the power system and transportation …

This book addresses computationally-efficient multi-objective optimization of antenna
structures using variable-fidelity electromagnetic simulations, surrogate modeling …

Wireless sensor and actuator networks (WSANs) are heterogeneous networks composed of
many different nodes that can cooperatively sense the environment, determine an …

A general review of game-theory based evolutionary algorithms (EAs) is presented in this
study. Nash equilibrium, Stackelberg game and Pareto optimality are considered, as game …

Elasticity in the cloud is often achieved by on-demand autoscaling. In such context, the goal
is to optimize the Quality of Service (QoS) and cost objectives for the cloud-based services …

Particle swarm optimization (PSO) originated from bird flocking models. It has become a
popular research field with many successful applications. In this paper, we present a …

Computer-aided design (CAD) of antenna arrays is becoming a common practice these
days. In a significant part, this is due to development of computational electromagnetics …

The highly strategic nature of terrorist attacks has often frustrated attempts at locating
emergency response facilities. To better determine the optimal location of such facilities, we …

Determining the Nash equilibria (NEs) in a competitive electricity market is a challenging
economic game problem. Although finding one equilibrium has been well studied, detecting …