Metaheuristic algorithms are computational intelligence paradigms especially used for
sophisticated solving optimization problems. This chapter aims to review of all …

Cluster analysis is an essential tool in data mining. Several clustering algorithms have been
proposed and implemented, most of which are able to find good quality clustering results …

Several metaheuristic optimization algorithms have been developed to solve the real-world
problems recently. This paper proposes a novel metaheuristic algorithm named Henry gas …

In this paper, a novel and powerful metaheuristic optimizer, named the growth optimizer
(GO), is proposed. Its main design inspiration originates from the learning and reflection …

The use of metaheuristics is one of the most encouraging methodologies for taking care of
real-life problems. Bald eagle search (BES) algorithm is the latest swarm-intelligence …

There are many pressures on the global food system such as urbanization, climate change,
and environmental degradation. Urban agriculture is an approach to producing food inside …

A suitable model structure and matched model parameters are prerequisites for the precise
estimation of the battery states. Previous studies pay little attention to whether a parameter …

Numerous optimization problems designed in different branches of science and the real
world must be solved using appropriate techniques. Population-based optimization …

Stochastic-based optimization algorithms are effective approaches to addressing
optimization challenges. In this article, a new optimization algorithm called the Election …

The African vultures optimization algorithm (AVOA) is a recently proposed metaheuristic
inspired by the African vultures' behaviors. Though the basic AVOA performs very well for …