Over the past years, many efforts have been accomplished to achieve fast and accurate
meta-heuristic algorithms to optimize a variety of real-world problems. This study presents a …

The Phasmatodea Population Evolution (PPE) algorithm, inspired by the evolution of the
phasmatodea population, is a recently proposed meta-heuristic algorithm that has been …

This paper proposes a solution for the distribution network reconfiguration (DNR) problem
with distributed generation (DG) based on the parallel slime mould algorithm (PSMA). Firstly …

This work proposes a population evolution algorithm to deal with optimization problems
based on the evolution characteristics of the Phasmatodea (stick insect) population, called …

A large number of evolutionary algorithms have been introduced for multi-objective
optimization problems in the past two decades. However, the compromise of convergence …

Cloud computing seems to be the result of advancements in distributed computing, parallel
computing, and network computing. The management and allocation of cloud resources …

A single strategy used in the firefly algorithm (FA) cannot effectively solve the complex
optimal scheduling problem. Thus, we propose the FA with division of roles (DRFA). Herein …

Wireless sensor network (WSN) attracts the attention of more and more researchers, and it is
applied in more and more environment. The localization information is one of the most …

Abstract Wireless Sensor Networks are booming with the development of computer
technology, network communication technology, and sensor technology. However, the …

Metaheuristic algorithm is a prestigious technique for solving optimization problems.
QUATRE is a simple but powerful algorithm. However, QUATRE also shows premature …