Background This review focuses on reviewing the recent publications of swarm intelligence
algorithms (particle swarm optimization (PSO), ant colony optimization (ACO), artificial bee …

This paper proposes an improved ant colony algorithm to achieve efficient searching
capabilities of path planning in complicated maps for mobile robot. The improved ant colony …

The paper addresses clustering problems from combinatorial viewpoints. A systemic survey
is presented. The list of considered issues involves the following:(1) literature analysis of …

Purpose This paper aims to study the vehicle routing problem with dynamic customers
considering dual service (including home delivery [HD] and customer pickup [CP]) in the last …

This paper presents an approach to transform the active distribution network with distributed
energy resources into multiple autonomous microgrids. The distribution network consists of …

In this paper we present a new population based metaheuristic called the fixed set search
(FSS). The proposed approach represents a method of adding a learning mechanism to the …

In this study, we propose a new multi-objective mathematical model for designing compact,
balanced, and contiguous districts in healthcare systems. The objective functions minimize …

Trajectory classification techniques face various challenges due to varying length and lack
of the presence of clear boundaries among the trajectory classes. To overcome such …

Fruit fly optimization algorithm (FOA) is a kind of swarm intelligence optimization algorithm,
which has been widely applied in science and engineering fields. The aim of this study is to …

Purpose The purpose of this paper is to put forward a path planning method in complex
environments containing dynamic obstacles, which improves the performance of the …