This paper presents a review of quantum-inspired population-based metaheuristics.
Quantum-inspired algorithms were born when there were no quantum computers; they …

Power generation system largely depends on fossil fuels to generate electricity. Due to
various reasons, the reserves of fossil fuels are declining and will become too expensive in …

In this paper, a membrane evolutionary artificial potential field (memEAPF) approach for
solving the mobile robot path planning problem is proposed, which combines membrane …

Membrane systems (also called P systems) refer to the computing models abstracted from
the structure and the functioning of the living cell as well as from the cooperation of cells in …

Quantum-inspired evolutionary algorithms, one of the three main research areas related to
the complex interaction between quantum computing and evolutionary algorithms, are …

Spiking neural P (SN P) systems are a class of parallel computation models inspired by
neurons, where the firing condition of a neuron is described by a regular expression …

A hybrid path planning algorithm based on membrane pseudo-bacterial potential field
(MemPBPF) is proposed. Membrane-inspired algorithms can reach an evolutionary …

Evolutionary membrane computing is an important research direction of membrane
computing that aims to explore the complex interactions between membrane computing and …

This paper presents a hybrid approach based on appropriately combining Differential
Evolution algorithms and Tissue P Systems (DETPS for short), used for solving a class of …

Due to their agility, cost-effectiveness, and high maneuverability, Unmanned Aerial Vehicles
(UAVs) have attracted considerable attention from researchers and investors alike. Path …