A New Swarm Algorithm Based on Orcas Intelligence for Solving Maze Problems

Drias, Habiba; Drias, Yassine; Khennak, Ilyes

doi:10.1007/978-3-030-45688-7_77

Cited by 6 publications

(2 citation statements)

References 8 publications

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“…This article is an extension of the article (Drias et al, 2020) published in the proceedings of WorldCIST'2020 conference. The work dealt with the design of an algorithm called Orca Algorithm (OA) that models the orca intelligence.…”

Section: Introductionmentioning

confidence: 85%

A novel Orca Cultural Algorithm and applications

Drias

Khennak

2022

Expert Systems

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In this article, the paradigm of machine culture as an extension to machine intelligence is introduced. This new concept is modelled based on animal intelligence and culture.The example of orca intelligence and culture is considered as orcas possess in addition to skills allowing them to reach preys, the ability to transmit their culture from generation to generation. The orca intelligence is studied and then simulated to design an algorithm called Orca Algorithm (OA). OA consists in modelling the orca lifestyle and in particular the orcas social organization, echolocation behaviour and hunting techniques. In order to integrate the cultural dimension, OA was hybridized with the Cultural Algorithm (CA) to get an algorithm called Orca Cultural Algorithm (OCA). OCA was tested on 22 benchmark problems of the literature to evaluate its performance.Extensive experiments were first performed to set the algorithm parameters prior to measure its effectiveness and efficiency. In a second stage, OCA was adapted to discrete problems and applied to the maze game with four level of complexity. Additional experiments were held to compare the designed algorithm with recent state-of-the-art evolutionary algorithms. The overall obtained results are very promising.

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Section: Introductionmentioning

confidence: 85%

A novel Orca Cultural Algorithm and applications

Drias

Khennak

2022

Expert Systems

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“…The orca predation algorithm (OPA) is one of the more recent swarm intelligence algorithms, being proposed in 2022 [ 123 ]. It should not be confused with some other similarly named metaheuristics, including killer whale algorithm [ 136 ], ORCA optimization algorithm (OOA) [ 137 ], orcas algorithm (OA) [ 138 ] and artificial orcas algorithm (AOA) [ 139 ] (which all have a lower citation count per year, and some of them even have no citations at all), or with some other programming systems totally unrelated to either optimization algorithms or biomimetics. The OPA mimics the hunting behavior of killer whales (Orcinus orca), creatures whose intelligence is comparable to that of humans.…”

Section: Metaheuristicsmentioning

confidence: 99%

A Comprehensive Review of Bio-Inspired Optimization Algorithms Including Applications in Microelectronics and Nanophotonics

Jakšić

Devi²,

Jakšić

et al. 2023

Biomimetics

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The application of artificial intelligence in everyday life is becoming all-pervasive and unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired algorithms for multiparameter optimization, which find their use in a large number of areas. Novel methods and advances are being published at an accelerated pace. Because of that, in spite of the fact that there are a lot of surveys and reviews in the field, they quickly become dated. Thus, it is of importance to keep pace with the current developments. In this review, we first consider a possible classification of bio-inspired multiparameter optimization methods because papers dedicated to that area are relatively scarce and often contradictory. We proceed by describing in some detail some more prominent approaches, as well as those most recently published. Finally, we consider the use of biomimetic algorithms in two related wide fields, namely microelectronics (including circuit design optimization) and nanophotonics (including inverse design of structures such as photonic crystals, nanoplasmonic configurations and metamaterials). We attempted to keep this broad survey self-contained so it can be of use not only to scholars in the related fields, but also to all those interested in the latest developments in this attractive area.

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