Search Results - (( java implementation bat algorithm ) OR ( causing problem _ algorithm ))
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Fuzzy modeling using Bat Algorithm optimization for classification
Published 2018“…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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Undergraduates Project Papers -
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A refined differential evolution algorithm for improving the performance of optimization process
Published 2011“…Various Artificial Intelligent (AI) algorithms can be applied in solving optimization problems. …”
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Automatic clustering of gene ontology by genetic algorithm
Published 2006“…However, the increase in size of the Gene Ontology has caused problems in maintaining and processing them. …”
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Article -
4
Tolerable Constructive Graph-Based Hyper-Heuristic Algorithm For Examination Timetabling
Published 2009“…In heuristic approaches getting stuck in local optimum is one of the propounded problems from early days. The main cause for the local optimal problem is that heuristic algorithms either focus on exploration (global improvement) rather than exploitation (local improvement) or vice versa.…”
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An improved simulated annealing algorithm to avoid crosstalk in optical omega network
Published 2006“…When Simulated Annealing (SA) algorithm was used to solve the problem, it gave good results. …”
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7
A novel layer by layer energy efficient watchman algorithm for wireless sensor and actor networks
Published 2021“…Energy consumption, end-to-end delay, and throughput are considered for the evaluation of the proposed algorithm. At the end, the proposed algorithm is compared with an existing state-of-the-art algorithm like the Efficient Traffic Load Reduction Algorithm (ETLRA) that also works with limbs node for the said problem in the same kind of wireless environment. …”
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Article -
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Festive season balancing groceries optimization / Fairuz Mohamed Razi
Published 2012“…An Artificial Intelligence method or technique is selected to provide a solution to this problem. The cause of the shortage in supply-demand is taken to be implemented in the Genetic Algorithms optimization concepts. …”
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Thesis -
9
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 -
10
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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11
Minimizing makespan of a resource-constrained scheduling problem: a hybrid greedy and genetic algorithms
Published 2015“…Resource-Constrained Project Scheduling Problem (RCPSP) is considered as an important project scheduling problem. …”
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Article -
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Leader election algorithm in 2D torus networks with the presence of one link failure
Published 2010“…Leader election algorithms solve the instability problem in the network which is caused by leader failure. …”
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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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Thesis -
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Efficient Sequential and Parallel Routing Algorithms in Optical Multistage Interconnection Network
Published 2005“…Also an improved simulated annealing is proposed to solve the routing problem. The efficient combination of simulated annealing algorithm with the best heuristic algorithms gave much better result in a very minimal time. …”
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15
Enhanced cell-based algorithm with dynamic radius in solving capacitated multi-source weber problem
Published 2021“…Capacitated Multi-source Weber Problem (CMSWP) is a type of Location Allocation Problem (LAP) which have been extensively researched because they can be applied in a variety of contexts. …”
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Design of a flexible digital baseband signal processing algorithm
Published 2006“…The work presented in this paper is aimed at designing a flexible digital baseband signal processing algorithm (DBSP) for satellite applications. In non-real-time application, there have been many examples or simulations of DBSP, written in C language but the problem is, most of them requires many loops to execute and hence, cause timing problem. …”
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Three-term backpropagation algorithm for classification problem
Published 2006“…Standard Backpropagation Algorithm (BP) is a widely used algorithm in training Neural Network that is proven to be very successful in many diverse application. …”
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Enhancing three variants of harmony search algorithm for continuous optimization problems
Published 2021“…Meta-heuristic algorithms are well-known optimization methods, for solving real-world optimization problems. …”
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Article -
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AN INVESTIGATION ON PARTICLE SWARM OPTIMIZATION ALGORITHM FOR DISTRIBUTION SYSTEM PLANNING WITH DISTRIBUTED GENERATION
Published 2012“…In this regards, this paper presents the Particle Swarm Optimization (PSO) algorithm to solve the distribution planning problem with DG. …”
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AN INVESTIGATION ON PARTICLE SWARM OPTIMIZATION ALGORITHM FOR DISTRIBUTION SYSTEM PLANNING WITH DISTRIBUTED GENERATION
Published 2012“…In this regards, this paper presents the Particle Swarm Optimization (PSO) algorithm to solve the distribution planning problem with DG. …”
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