Crossover is an important operation in the Genetic Algorithms (GA). Crossover operation is
responsible for producing offspring for the next generation so as to explore a much wider …

Phylogenetic inference allows building a hypothesis about the evolutionary relationships
between a group of species, which is usually represented as a tree. The phylogenetic …

Evolutionary relationships among species are usually (1) illustrated by means of a
phylogenetic tree and (2) inferred by optimising some measure of fitness, such as the total …

Phylogenetic inference is the process of searching and reconstructing the best phylogenetic
tree that explains the evolution of species from a given data set. It is considered as an NP …

The development of increasingly popular multiobjective metaheuristics has allowed
bioinformaticians to deal with optimization problems in computational biology where multiple …

Phylogenetic inference is one of the central problems in computational biology. It consists in
finding the best tree that explains the evolutionary history of species from a given dataset …

Evolutionary relationships among species can be represented by a phylogenetic tree and
inferred by optimising some measure of fitness, such as the statistical likelihood of the tree …

The field of computational biology encloses a wide range of optimization problems that show
non‐deterministic polynomial‐time hard complexities. Nowadays, phylogeneticians are …

Recently, swarm intelligence algorithms have been applied successfully to a wide variety of
optimization problems in Computational Biology. Phylogenetic inference represents one of …

In recent years, to infer phylogenies, which are NP-hard problems, more and more research
has focused on using metaheuristics. Maximum Parsimony and Maximum Likelihood are …