In this paper, binary variants of the ant lion optimizer (ALO) are proposed and used to select
the optimal feature subset for classification purposes in wrapper-mode. ALO is one of the …

Multimodal multiobjective optimization problems (MMOPs) are commonly seen in real-world
applications. Many evolutionary algorithms have been proposed to solve continuous …

In this paper, a modification of the newly proposed antlion optimization (ALO) is introduced
and applied to feature selection relied on the Lèvy flights. ALO method is one of the …

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 …

Poly-lactide-co-glycolide (PLGA) is a copolymer of lactic and glycolic acid. Drug release
from PLGA microspheres depends not only on polymer properties but also on drug type …

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 …

Premature convergence is one of the most important recurrent drawbacks of Evolutionary
Algorithms and other metaheuristics. As a result, several methods to alleviate this problem …

A multi-modal multi-objective optimization problem (MMOP) may have equivalent Pareto
optimal solutions. These solutions are different in the decision space but correspond to the …

The proper management of diversity is essential to the success of Evolutionary Algorithms.
Specifically, methods that explicitly relate the amount of diversity maintained in the …

We propose an evolutionary algorithm with a novel diversity oscillation mechanism for the
Capacitated Vehicle Routing Problem with Time Windows (CVRPTW). Evolutionary …