A Survey on Physarum Polycephalum Intelligent Foraging Behaviour and Bio-Inspired Applications

02/27/2021
by   Abubakr Awad, et al.
0

In recent years, research on Physarum polycephalum has become more popular after Nakagaki et al. (2000) performed their famous experiment showing that Physarum was able to find the shortest route through a maze. Subsequent researches have confirmed the ability of Physarum-inspired algorithms to solve a wide range of NP-hard problems. This review will through light on recent Physarum polycephalum biological aspects, mathematical models, and Physarum bio-inspired algorithms and their applications. Further, we have presented our new model to simulate Physarum in competition, where multiple Physarum interact with each other and with their environments. The bio-inspired Physarum in competition algorithms proved to have great potentials for future research.

READ FULL TEXT

page 3

page 7

page 8

page 9

page 10

page 11

page 13

page 16

research
08/15/2019

Evolution of Ant Colony Optimization Algorithm -- A Brief Literature Review

Ant Colony Optimization (ACO) is a metaheuristic proposed by Marco Dorig...
research
08/18/2013

Bat Algorithm: Literature Review and Applications

Bat algorithm (BA) is a bio-inspired algorithm developed by Yang in 2010...
research
03/14/2023

Vision-based route following by an embodied insect-inspired sparse neural network

We compared the efficiency of the FlyHash model, an insect-inspired spar...
research
06/08/2020

A Survey on Approximation in Parameterized Complexity: Hardness and Algorithms

Parameterization and approximation are two popular ways of coping with N...
research
02/19/2020

Taxonomy of bio-inspired algorithms

In recent years, a great variety of nature and bio-inspired algorithms h...
research
02/08/2017

A Historical Review of Forty Years of Research on CMAC

The Cerebellar Model Articulation Controller (CMAC) is an influential br...

Please sign up or login with your details

Forgot password? Click here to reset