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Heuristic-Based Ant Colony Optimization Algorithm For Protein Functional Module Detection In Protein Interaction Network
Published 2017“…Ant colony optimization (ACO) is a metaheuristic algorithm that has been successfully applied to several types of optimization problems such as scheduling, routing, and more recently for solving protein functional module detection (PFMD) problem in protein-protein interaction (PPI) networks. …”
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Thesis -
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Heuristic-Based Ant Colony Optimization Algorithm For Protein Functional Module Detection In Protein Interaction Network
Published 2017“…Ant colony optimization (ACO) is a metaheuristic algorithm that has been successfully applied to several types of optimization problems such as scheduling, routing, and more recently for solving protein functional module detection (PFMD) problem in protein-protein interaction (PPI) networks. …”
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3
Ant colony optimization (ACO) algorithm for CNC route problem
Published 2012“…However, the CNC machines do not choose the optimal route when completing their task and this caused the high cost problem on the machining. This project proposes a new optimization technique which applies ant behavior, for finding the optimal route in PCB holes drilling process. …”
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Undergraduates Project Papers -
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Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Conference or Workshop Item -
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Modelling of flexible beam based on ant colony optimization and cuckoo search algorithms
Published 2021“…Based on previous studies, most researchers nowadays use system identification (SI) as a modelling technique to develop a dynamic model of flexible structure via swarm intelligence algorithm (SIA). Therefore, two type of algorithms was used in this work for modelling development of flexible beam structure, which are ant colony optimization (ACO) and cuckoo search algorithm (CSA). …”
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Article -
6
Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Conference or Workshop Item -
7
The study of ant colony optimization (ACO) parameters for STATCOM optimization / Melor Md Hodari
Published 2010“…The proposed technique was tested using the standard IEEE 30-bus system and the capability of developed ACO in solving continuous optimization problems has been revealed as the added value in the algorithm.…”
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8
The study of ant colony optimization (ACO) parameters for STATCOM optimization: article / Melor Md Hodari
Published 2010“…The proposed technique was tested using the standard IEEE 30-bus system and the capability of developed ACO in solving continuous optimization problems has been revealed as the added value in the algorithm.…”
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Article -
9
Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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Efficient Sequential and Parallel Routing Algorithms in Optical Multistage Interconnection Network
Published 2005“…It is important to focus on an efficient solution to ,avoid crosstalk, which is routing traffic through an N x N optical network to avoid coupling two signals within each switching element.Under the constraint of avoiding crosstalk, we are interested in realising a permutation that will use the minimum number of passes to send all messages. This routing problem is an NPhard problem. Many algorithms are designed by many researchers to perform this routing such as window method, sequential algorithm, degree-descending algorithm, simulated annealing algorithm, genetic algorithm and ant colony algorithm.This thesis explores two approaches, sequential and parallel approaches. …”
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12
Green vehicle traffic routing system using ant-based algorithm
Published 2015“…Hence, in this paper, we present a green VTRS that reduces fuel consumption and consequently CO2 emissions via ant-based algorithm combined with fuel consumption model. …”
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Article -
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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Article -
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Zero Algorithms for Avoiding Crosstalk in Optical Multistage Interconnection Network
Published 2005“…Under the constraint of avoiding crosstalk, the research interest is to realize a permutation that will use the minimum number of passes (to route the input request to output without crosstalk). This routing problem is an NP-hard problem. Many heuristic algorithms have been proposed and designed to perform the routing such as the sequential algorithm, the sequential down algorithm, the degree-ascending algorithm, the degree-descending algorithm, the Simulated Annealing algorithm and the Ant Colony algorithm. …”
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15
Furrow and crypt detection using modified ant colony optimization for iris recognition / Zaheera Zainal Abidin
Published 2016“…As a solution, to improve the accuracy performance, this research proposes a new approach called as Modified Ant Colony Optimization that uses ant colony algorithm which search for crypts and radial furrow. …”
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Furrow and crypt detection using Modified Ant Colony Optimization for iris recognition / Zaheera Zainal Abidin
Published 2016“…As a solution, to improve the accuracy performance, this research proposes a new approach called as Modified Ant Colony Optimization that uses ant colony algorithm which search for crypts and radial furrow. …”
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Book Section -
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Optimal sizing and location of distributed generation for power loss minimization using bee colony algorithm
Published 2023“…Recently, the rapid growth development of the Distribution system has caused the problem arising due to the usage Distributed Generation (DG). …”
text::Final Year Project -
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT
Published 2006“…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
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Thesis