This paper provides an extensive review of the popular multi-objective optimization
algorithm NSGA-II for selected combinatorial optimization problems viz. assignment …

In recent decades, several multi-objective evolutionary algorithms have been successfully
applied to a wide variety of multi-objective optimization problems. Along the way, several …

In recent decades, several multi-objective evolutionary algorithms have been successfully
applied to a wide variety of multi-objective optimization problems. Along the way, several …

This study presents the game modeling of the multi-objective frequency assignment problem
(FAP) in cellular networks considering two conflicting objectives: interference and separation …

Evolutionary algorithms (EAs) have been attracting research attention for last decades. They
were shown to be very efficient in solving various complex optimization problems in most …

This paper investigates hybridization of multi-objective memetic algorithm and artificial
immune system (AIS) for the Frequency Assignment Problem (FAP) in cellular mobile …

Multi-objectivization represents a current and promising research direction which has led to
the development of more competitive search mechanisms. This concept involves the …

Traffic congestion, and the consequent loss of time, money, quality of life, and higher
pollution, is currently one of the most important problems in cities, and several approaches …

In the multi-objective approach to constraint-handling, a constrained problem is transformed
into an unconstrained one by defining additional optimization criteria to account for the …

This paper presents a novel multi-objective hybrid metaheuristic that combines an artificial
immune system (AIS) with genetic operators to address the multi-objective Frequency …