Abstract Multi-Objective Evolutionary Algorithms (MOEAs) are powerful search techniques
that have been extensively used to solve difficult problems in a wide variety of disciplines …

Vehicular ad hoc networks (VANETs) are wireless networks of automotive nodes. Among the
strategies used in VANETs to increase network connectivity are broadcast scheduling, data …

This paper introduces a new cellular genetic algorithm for solving multiobjective continuous
optimization problems. Our approach is characterized by using an external archive to store …

Research in exact algorithms, heuristics and metaheuristics for solving combinatorial
optimization problems is nowadays highly on the rise. The main advantage of using exact …

Recent advances in wireless technologies have given rise to the emergence of vehicular ad
hoc networks (VANETs). In such networks, the limited coverage of WiFi and the high mobility …

In recent times, wireless access technology is becoming increasingly commonplace due to
the ease of operation and installation of untethered wireless media. The design of wireless …

In this paper we study a number of issues related to the design of a cellular genetic
algorithm (cGA) for multiobjective optimization. We take as an starting point an algorithm …

Many of the optimization problems from the real world are multiobjective in nature, and the
reference algorithm for multiobjective optimization is NSGA-II. Frequently, these problems …

This work tackles the problem of reducing the power consumption of the OLSR routing
protocol in vehicular networks. Nowadays, energy-aware and green communication …

Abstract Within Multi-Criteria Decision Analysis (MCDA), pairwise comparison facilitates a
separation of concerns hel** to accurately represent a decision maker's preferences …