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Sheet C1 Pattern Number Recognition Using Artificial Immune System Optimization by Yuniarti Denita, Sari, Tri Basuki, Kurniawan, Edi Surya, Negara, Tata, Sutabri

“…In order to recognize the numerical patterns on sheet C1, we, therefore, require a method that uses the Artificial Immune System (AIS), specifically the CSA (Clonal Selection Algorithm) algorithm, which is one of the AIS system's algorithms for optimization. …”
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Optimizing support vector machine parameters using continuous ant colony optimization by Alwan, Hiba Basim, Ku-Mahamud, Ku Ruhana

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Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari by Mohammed , Heydari

“…To evaluate the hybrid algorithm, optimization of hydro-power energy of Karun dams were considered. …”
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Multi-objective Binary Clonal Selection Algorithm In The Retrieval Phase Of Discrete Hopfield Neural Network With Weighted Systematic Satisfiability by Romli, Nurul Atiqah

“…The proposed algorithm in the retrieval phase showed optimal performance as compared to the baseline algorithms. …”
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Development of bi-objective optimization model for supply chain network design using data envelopment analysis by Rahimi, Iman

“…First objective is obtaining an optimal DEA efficiency score simultaneously with facility location pattern for two stages supply chain are studied as a bi-objective model, and a trade-off between facility location cost with facility efficiency score alongside sensitive analysis in the supply chain are shown. …”
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Kernerlized Correlation Filters Parameters Optimization For Enhanced Visual Tracking by Ong, Chor Keat

“…Through the optimization, the overall overlap ratio is increased to 0.554 and overall centre location error is decreased to 19.803 pixels. …”
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Design and optimization of linear array antenna based on the analysis of direction of arrival (DOA) estimation and beamforming algorithms by Haji, Ibrahim A., Islam, Md. Rafiqul, Alam, A. H. M. Zahirul, Khalifa, Othman Omran, Khan, Sheroz, Abdullah, Khaizuran, Yussuf, Abubaker A.

“…Accurate inter-element spacing has been designed to remove the mutual coupling which causes shifting of the maximum beam pattern towards undesired locations and shifting of the resonant frequency to higher frequency ranges. …”
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Optimized multi-level elongated quinary patterns for the assessment of thyroid nodules in ultrasound images by Raghavendra, U., Gudigar, Anjan, Maithri, Mangalore, Gertych, Arkadiusz, Meiburger, Kristen Mariko, Yeong, Chai Hong, Madla, Chakri, Kongmebhol, Pailin, Molinari, Filippo, Ng, Kwan Hoong, Acharya, U. Rajendra

“…This paper proposes a new CAD system to characterize thyroid nodules using optimized multi-level elongated quinary patterns. In this study, higher order spectral (HOS) entropy features extracted from these patterns appropriately distinguished benign and malignant nodules under particle swarm optimization (PSO) and support vector machine (SVM) frameworks. …”
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Influence of shortest route approximation on relegating urban area’s transportation network priorities by Farid Morsidi, Haldi Budiman

“…This greedy pathfinding algorithm is regarded as proactive for application in several known neighboring routing characteristics, including customer clustering aspects in vehicle routing and location-allocation instances for optimal resource allocation.…”
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An Adaptive Switching Cooperative Source Searching And Tracing Algorithms For Underwater Acoustic Source Localization by Majid, Mad Helmi Ab.

“…Secondly, to trace the source to its approximate location, a Source Tracing Algorithm (STA) known as an Asynchronous Dynamically Adjustable Particle Swarm Optimization (ADAPSO) is suggested. …”
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Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance by Allawi, Mohammed Falah, Jaafar, Othman, Mohamad Hamzah, Firdaus, Koting, Suhana, Mohd, Nuruol Syuhadaa, El-Shafie, Ahmed

“…The three different optimization algorithms used in this study are the genetic algorithm (GA), particle swarm optimization (PSO) algorithm and shark machine learning algorithm (SMLA). …”
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Optimal Charging Strategy for Plug-in Hybrid Electric Vehicle Using Evolutionary Algorithm by Mohd Redzuan, Ahmad, Ismail, Musirin, M. M., Othman

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Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism by Alomari M.F., Mahmoud M.A., Gharaei N., Rasool S.M., Hasan R.A.

“…The core of the algorithm utilizes a Genetic Algorithm (GA) to find the optimal position for the first evaluator by minimizing the total distance between this evaluator and all CCTV nodes, aiming for surveillance efficiency. …”

Optimization of the Jakim halal logo placement on qr code using enhanced genetic algorithm by Rohani, Fuaad

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A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem by Ahmed A.N., Van Lam T., Hung N.D., Van Thieu N., Kisi O., El-Shafie A.

Optimization of medical image steganography using n-decomposition genetic algorithm by Al-Sarayefi, Bushra Abdullah Shtayt

“…To overcome these limitations, this study proposes a technique known as an n-decomposition genetic algorithm. This algorithm uses a variable-length search to identify the best location to embed the secret message by incorporating constraints to avoid local minimum traps. …”
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Optimal planning of photovoltaic distributed generation considering uncertainties using monte carlo pdf embedded MVMO-SH by Norhafidzah, Mohd Saad

“…A hybrid population – based stochastic optimization method named MVMO-SH algorithm is proposed to optimize PVDG locations and sizes in the grid system network. …”
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Optimizing LSTM S2S models with Evolutionary Mating Algorithm (EMA) for direct multi-step forecasting of household electrical power consumption by Al Mamun, Md Habib, Zuriani, Mustaffa, Junaida, Sulaiman, Mohd Herwan, Sulaiman

“…EMA successfully identifies optimal parameters, and EMA-optimized model achieved a significant improvement in accuracy over to baseline methods. …”
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Optimized range-free localization scheme using autonomous groups particles swarm optimization for anisotropic wireless sensor networks by Han, Fengrong, Izzeldin, Ibrahim Mohamed Abdelaziz, Kamarul Hawari, Ghazali, Zhao, Yue, Li, Ning

“…In addition, it also concluded that metaheuristic optimization algorithm and weighted least square method are more suitable to conquer anisotropic factor. …”
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Comparative analysis of two-step GA-based PV array reconfiguration technique and other reconfiguration techniques by Muhammad Ajmal A., Ramachandaramurthy V.K., Naderipour A., Ekanayake J.B.