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    Bio-inspired fault tolerant network on chip by Sethi, M.A.J., Hussin, F.A., Hamid, N.H.

    Published 2017
    “…Moreover, the bio-inspired algorithms are compared and analyzed with each other using BE, GT and combined BE-GT services. …”
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    Design of a flexible digital baseband signal processing algorithm by Mohamad, Rosalina, Harun, Harlisya, Nuzli, Mohamad Anas, Dimyati, Kaharudin

    Published 2006
    “…In this paper, we show how we solved the problem by satisfying several requirements simultaneously: 1) removing loop or complicated algorithm in DBSP functions with flexible DBSP algorithm 2) using DSP-BIOS Scheduling module to increase performance and make sure our sample data are in packed. …”
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    A survey : particle swarm optimization-based algorithms for grid computing scheduling systems. by Ambursa, Faruku Umar, Latip, Rohaya

    Published 2013
    “…Several researches have been conducted to tackle the problems of task scheduling for the heterogeneous and dynamic grid systems using different bio-inspired mechanisms such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO). …”
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    Implementation of Biological Sprouting Algorithm for NoC Fault Tolerance by Sethi, Muhammad Athar Javed, Hussin, Fawnizu Azmadi, Hamid, Nor Hisham

    Published 2013
    “…Bio-inspired sprouting algorithm is based on biological brain technique which makes the algorithm robust and the NoC fault tolerant. …”
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    Cycle time minimization in production line using robust hybrid optimization algorithm by Noorazliza, Sulaiman, Zetty Ain, Kamaruzzaman, Junita, Mohamad Saleh, Ahmad Afif, Ahmarofi

    Published 2021
    “…The results obtained from their research have clearly portrayed the robustness of bio-inspired algorithms to cater complex problems. …”
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    Levy slime mould algorithm for solving numerical and engineering optimization problems by J. J., Jui, M. A., Ahmad, M. I. M., Rashid

    Published 2022
    “…One classical engineering problem known as the welded beam structure problem is used to test the proposed LSMA algorithm's efficacy. …”
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    Biologically Inspired Network on Chip Fault Tolerant Algorithm Using Time Division Multiplexing by Sethi, Muhammad Athar Javed, Hussin, Fawnizu Azmadi, Hamid, Nor Hisham

    Published 2016
    “…Bio-inspired NoC using Time division multiplexing (TDM) is based on the characteristics of biological brain. …”
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    The Anglerfish algorithm: a derivation of randomized incremental construction technique for solving the traveling salesman problem by Pook, Mei Foong, Ramlan, Effirul Ikhwan

    Published 2019
    “…Benchmarking is conducted using the traveling salesman problem. The results are comparable with the results of advanced metaheuristic algorithms. …”
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    Biologically inspired network on chip fault tolerant algorithm using time division multiplexing by Sethi, M.A.J., Hussin, F.A., Hamid, N.H.

    Published 2017
    “…Bio-inspired NoC using Time division multiplexing (TDM) is based on the characteristics of biological brain. …”
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    Securing cloud data system (SCDS) for key exposure using AES algorithm by Thabet Albatol, Mohammed Samer Hasan

    Published 2021
    “…The AES algorithm has its own structure to encrypt and decrypt sensitive data that make the attackers difficult to get the real data when encrypting by AES algorithm. …”
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    Thesis
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    A review of crossover methods and problem representation of genetic algorithm in recent engineering applications by Zainuddin, Farah Ayiesya, Abd Samad, Md Fahmi

    Published 2020
    “…Genetic algorithm (GA) is a popular technique of optimization that is bio-inspired and based on Charles Darwin's proposed principles of natural genetics and natural selection theories. …”
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