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Bio-inspired fault tolerant network on chip
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
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.
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
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
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
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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An optimal mesh algorithm for remote protein homology detection
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Biologically Inspired Network on Chip Fault Tolerant Algorithm Using Time Division Multiplexing
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
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
Published 2017“…Bio-inspired NoC using Time division multiplexing (TDM) is based on the characteristics of biological brain. …”
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A review of crossover methods and problem representation of genetic algorithm in recent engineering applications
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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Ant colony algorithm for text classification in multicore-multithread environment / Ahmad Nazmi Fadzal
Published 2017“…Ant Colony Optimization (ACO) is a bio-inspired technique that was introduced to solve Non-Polynomial hard problem of high text data dimension that is similar to Traveling Salesman Problem (TSP) using probabilistic way. …”
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Differential search algorithm in multi machine power system stabilizers for damping oscillations
Published 2023“…Proper optimization of PSSs is a complex design problem. In this paper, a bio-inspired metaheuristic optimization technique named as differential search algorithm (DSA) is presented to solve the optimization problem of multi machine PSSs. …”
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Intelligent mining of large-scale bio-data: bioinformatics applications
Published 2017“…Bioinformatics creates heuristic approaches and complex algorithms using artificial intelligence and information technology in order to solve biological problems. …”
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Loss minimization of optimal power flow with stochastic solar power generation using improved salp swarm algorithm
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Global gbest guided-artificial bee colony algorithm for numerical function optimization
Published 2018“…Recently, an attractive bio-inspired method—namely the Artificial Bee Colony (ABC)—has shown outstanding performance with some typical computational algorithms in different complex problems. …”
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