Search Results - (( optimal code algorithm ) OR ( optimal ((step algorithm) OR (new algorithm)) ))

A Novel Integrating Between Tool Path Optimization Using An ACO Algorithm And Interpreter For Open Architecture CNC System by Yusof, Yusri, Latif, Kamran, Hatem, Noor, A. Kadir, Aini Zuhra, Mohammed, M.A

“…In this paper, a new optimized generation of CNC systems, based on combining the Open Architecture Control (OAC) technology supported by the G-code data model and the optimization algorithm are presented…”
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Optimized differential evolution algorithm for linear frequency modulation radar signal denoising by Al-Dabbagh, Mohanad Dawood Hasan

“…The main contention of this thesis is to investigate the development of new optimization technique based on Differential Evolution algorithm (DE), applied for radar signal denoising application. …”
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New optimization feature for the developed open cnc controller based on ISO 6983 and ISO 14649 by Obayes, Noor Hatem

“…However, this system has some limitations, such as tool path optimization. This research aims to minimize tool path airtime during machining of input ISO codes via an ant colony optimization algorithm. …”
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Formulation of a new implicit method for group implicit BBDF in solving related stiff ordinary differential equations by Abd Rasid, Norshakila, Ibrahim, Zarina Bibi, Abdul Majid, Zanariah, Ismail, Fudziah

“…The off-step points help to increase the accuracy by optimizing the local truncation error. …”
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Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

“…Hence, the objective of this research is to propose suitable and optimize algorithm for ANPR system on Android mobile phone. …”
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A new dynamic code assignment algorithm for joint CDMA and SDMA system by Odeh, Nidhal A. S., Khatun, Sabira, Ismail, Alyani, Mohd Ali, Borhanuddin

“…This article describes an optimal dynamic code assignment algorithm, which can be used to maximize the total number of users in combined C-SDMA system with minimum required quality of service (QoS) and limited number of codes. …”
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Investigation on the dynamic of computation of semi autonomous evolutionary computation for syntactic optimization of a set of programming codes by Mohammad Sigit Arifianto, Tze, Kenneth Kin Teo, Liau, Chung Fan, Liawas Barukang, Zaturrawiah Ali Omar

“…This work focuses on the optimization of the parallelization of a sequential code. …”
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Optimizing lossless compression by normalized data length in Huffman Algorithm by Tonny, Hidayat

“…The proposed new algorithm has more optimal CR than the various variants of the Huffman-based lossless application. …”
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A new real coded genetic algorithm crossover: Rayleigh crossover by Lim, Siew Mooi, Sulaiman, Md. Nasir, Md Sultan, Abu Bakar, Mustapha, Norwati, Tejo, Bimo Ario

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Optimization of Exclusive Release Policies for Hydropower Reservoir Operation by Using Genetic Algorithm by Tayebiyan A., Mohammed Ali T.A., Ghazali A.H., Malek M.A.

“…Algorithms; Genetic algorithms; Hydroelectric power; Optimal systems; Optimization; Scheduling; Water management; Water resources; Hydroelectric generation; Hydropower; Operational constraints; Optimization techniques; Real coded genetic algorithm; Reservoir operation; Reservoir performance; Waterresource management; Reservoirs (water); genetic algorithm; hydroelectric power; hydroelectric power plant; optimization; policy approach; power generation; reservoir; water management; water resource; Cameron Highlands; Malaysia; Pahang; West Malaysia…”

Intelligent energy systems using the barnacles mating optimizer and evolutionary mating algorithm: Foundations, methods, and applications by Mohd Herwan, Sulaiman, Zuriani, Mustaffa

“…Intelligent Energy Systems using the Barnacles Mating Optimizer and Evolutionary Mating Algorithm: Foundations, Methods, and Applications reveals the potential of innovative optimization algorithms to support sustainability in modern energy systems. …”
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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

“…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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Antenna arrays in multi-user detection of spread spectrum signals by Karim, M.R., Wei, S.

“…A number of multi-user detection algorithms have been suggested by various authors. Optimal receivers based upon maximum likelihood sequence decoding are quite complex, their complexity increasing exponentially with the number of users in the system. …”
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EG allocation and sizing using real coded genetic algorithm method to minimize losses and improve voltage profile by Mohd Herwan, Sulaiman, Omar, Aliman, Siti Rafidah, Abdul Rahim, Mohd Rafi, Adzman

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Comparative study of modified BFGS and new scale modified BFGS for solving unconstrained optimization / Shahirah Atikah Mohamad Husnin by Mohamad Husnin, Shahirah Atikah

“…This indicated that the new scaled mBFGS algorithm performance is better than mBFGS algorithms.…”
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A simulation based fly optimisation algorithm for swarms of mini autonomous surface vehicles application by Zainal Abidin, Zulkifli

“…Present paper intends to provide a detailed description of a new bio-inspired Metaheuristic Algorithm. Based on the detailed study of the Drosophila, the flowchart behaviour for the algorithm, code implementation, methodologies and simulation analysis, a novel Fly Optimization Algorithm (FOA) approach is presented. …”
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Path control of dexterous robotic hand using genetic algorithm by Albert F.Y.C., Koh S.P., Chen C.P., Loo C.K., Tiong S.K.

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Design and development of optimal path trace back using graph theory technique for accelerate DNA sequence alignment accelerator: article by Othman, Nor Shuhaida

“…The Smith-Waterman is been simplified into four modules which were initialization, score calculation, matrix filling and optimal path. The scope of the paper based on optimal path trace back using graph theory. …”
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Real Coded Genetic Algorithm (RCGA): a new RCGA mutator called Scale Truncated Pareto Mutation by Lim, Siew Mooi, Sulaiman, Md. Nasir, Md. Sultan, Abu Bakar, Mustapha, Norwati, Tejo, Bimo Ario

“…STPM is used with Laplace Crossover (LX) taken from literature to form a new generational RCGA called LX-STPM. The performance of LX-STPM is compared with an existing RCGA called LX-LLM on a set of 10 benchmark global optimization test problems based on a few performance criterions to investigate the reliability, efficiency, accuracy and quality of solutions of both optimization algorithms. …”
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Crossover and mutation operators of real coded genetic algorithms for global optimization problems by Lim, Siew Mooi

“…Because the representations of the solutions are similar to the natural formulation, RCGA gets better-customized to the optimization of problems in a continuous domain. Throughout the years, there has been a shift in focus on constructing new crossover and mutation operators to improve the performance of GA in function optimization. …”
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