Swarm intelligence (SI) is the collective behavior of decentralized, self-organized natural or
artificial systems. Monarch butterfly optimization (MBO) algorithm is a class of swarm …

Elephant herding optimization (EHO) is a nature-inspired metaheuristic optimization
algorithm based on the herding behavior of elephants. EHO uses a clan operator to update …

A large number of intelligent algorithms based on social intelligent behavior have been
extensively researched in the past few decades, through the study of natural creatures, and …

With the rapid growth in the number of motor vehicles, traffic pollution has become an
increasingly serious problem, due to high carbon emission and low load utilization rate. It is …

With the development of the economy, distributed manufacturing has gradually become the
mainstream production mode. This work aims to solve the energy-efficient distributed flexible …

Recently, more and more multi/many-objective algorithms have been proposed. However,
most evolutionary algorithms only focus on solving small-scale multi/many-objective …

In this study, we propose an efficient optimization algorithm that is a hybrid of the iterated
greedy and simulated annealing algorithms (hereinafter, referred to as IGSA) to solve the …

Abstract Harris Hawks Optimizer (HHO) is one of the many recent algorithms in the field of
metaheuristics. The HHO algorithm mimics the cooperative behavior of Harris Hawks and …

To handle the multiobjective optimization problems of truss-bar design, this paper introduces
a new metaheuristic multiobjective optimization algorithm. The proposed algorithm is based …

The elephant herding optimization (EHO) is a recent swarm intelligence algorithm. This
algorithm simulates the clan updating and separation behavior of elephants. The EHO …