Search Results - (( model evaluation a algorithm ) OR ( using optimization strategical algorithm ))*

Greedy-assisted teaching-learning-based optimization algorithm for cost-based hybrid flow shop scheduling by Ullah, Wasif, Mohd Fadzil Faisae, Ab Rashid, Muhammad Ammar, Nik Mu’tasim

“…However, limited attention has been given to CHFS when considering holistic cost models using efficient algorithms. This paper presents a novel Greedy-Assisted Teaching-Learning-Based Optimization (GTLBO) algorithm for CHFS. …”
Get full text
Get full text
Get full text

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 chemotherapy using metaheuristic optimization algorithms / Prakas Gopal Samy by Prakas Gopal , Samy

“…This research undertakes a comprehensive exploration aimed at optimizing cancer therapy by integrating mathematical modelling and advanced optimization methodologies. …”
Get full text
Get full text
Get full text

Data driven hybrid evolutionary analytical approach for multi objective location allocation decisions: Automotive green supply chain empirical evidence by Doolun, Ian Shivraj, Ponnambalam, S. G., Subramanian, Nachiappan, Kanagaraj, G.

“…Five variants of the hybrid algorithm are evaluated in addition to comparing the performance with the existing Multi-Objective Hybrid Particle Swarm Optimization (MOHPSO) algorithm. …”
Get full text
Get full text
Get full text

Optimal Location of Electric Vehicle Fast Charging Station Using Grasshopper Optimization Algorithm by Yasin Z.M., Salim N.A., Noor S.Z.M., Aziz N.F.A., Mohamad H.

“…GOA is a computational technique that addresses optimization challenges by formulating a mathematical model that emulates the collective behaviour observed in natural grasshopper swarms. …”

SGM: Strategic Game Model for resisting node misbehaviour in IoT-Cloud ecosystem by Khan, Burhan Ul Islam, Anwar, Farhat, Abdul Rahman, Farah Diyana, Olanrewaju, Rashidah Funke, Goh, Khang Wen, Janin, Zuriati, Rahman, Md Arafatur

“…The core of the design is a simplified mathematical algorithm that can strategically compute payoff embrace moves to maximise gain. …”
Get full text
Get full text
Get full text

Sales prediction for Adha Station by using predictive analytics by Mohd Mokhid, Muhammad Amier Latieff

“…This project addresses the existing issues in the business processes at Adha Station, a Thai restaurant in Malaysia. This research presented a technique for projecting sales utilising current data through a machine learning algorithm. …”
Get full text
Get full text

SGM : Strategic game model for resisting node misbehaviour in IoT-cloud ecosystem by Khan, Burhan Ul Islam, Anwar, Farhat, Farah Diyana, Abdul Rahman, Olanrewaju, Rashidah Funke, Goh, Khang Wen, Zuriati, Janin, Rahman, Md Arafatur

“…The core of the design is a simplified mathematical algorithm that can strategically compute payoff embrace moves to maximise gain. …”
Get full text
Get full text
Get full text

Design and performance analysis of a fast 4-way set associative cache controller using Tree Pseudo Least Recently Used algorithm by Hazlan, Mohamed Alfian Al-Zikry, Gunawan, Teddy Surya, Yaacob, Mashkuri, Kartiwi, Mira, Arifin, Fatchul

“…A key feature of this design is the incorporation of the Tree Pseudo Least Recently Used (PLRU) algorithm for cache replacement, a strategic choice aimed at optimizing cache performance. …”
Get full text
Get full text
Get full text
Get full text

Performance Analyses of Nature-inspired Algorithms on the Traveling Salesman’s Problems for Strategic Management by Julius, Beneoluchi Odili, M. N. M., Kahar, Noraziah, Ahmad, M., Zarina, Riaz, Ul Haq

“…Knowledge of the workings of the TSP is very useful in strategic management as it provides useful guidance to planners. …”
Get full text
Get full text
Get full text

Predicting factors of library traffic for UiTMCTKKT Cendekiawan Library using predictive analytics / Azzatul Husna Abdul Aziz by Abdul Aziz, Azzatul Husna

“…Cross-validation was used for evaluation to ensure that the models are robust and reliable. …”
Get full text
Get full text

Dynamic investment model for the restructed power market in the presence of wind source by Esfahani, Mohammad Tolou Askari Sedehi

“…In the second step, a model developed in this work is proposed to simulate the medium term restructured power market. …”
Get full text
Get full text

A Hybrid Machine Learning and Optimisation-Based Model for Predicting the Success of Business-To-Consumer Software Development Projects in Indonesia by Setiawan, Rudi

“…Building on these findings, a predictive framework is constructed by integrating machine learning algorithms with advanced optimization and data handling strategies. …”
Get full text
Get full text
Get full text
Get full text

Aerial imagery paddy seedlings inspection using deep learning by Anuar, Mohamed Marzhar, Abdul Halin, Alfian, Perumal, Thinagaran, Kalantar, Bahareh

“…Optimal planting density is a crucial factor for paddy cultivation as it will influence the quality and quantity of production. …”
Get full text
Get full text

Prioritisation assessment and robust predictive model for a comprehensive medical equipment maintenance using machine learning techniques / Aizat Hilmi Zamzam by Aizat Hilmi, Zamzam

“…The study aims to develop a comprehensive strategic maintenance management for sustaining the medical equipment reliability in a cost-effective way. …”
Get full text
Get full text
Get full text

Evaluating critical success factors in AI-driven drug discovery using AHP: a strategic framework for optimization by Mohamed Talib, Amir, Al-Hgaish, Areen Metib, Binti Atan, Rodziah, Alshammari, Abdulaziz, Omar Alomary, Fahad, Yaakob, Razali, Alsahli, Abdulaziz, Osman, Mohd Hafeez

“…This research contributes to strategic AI adoption by addressing data inconsistencies, algorithmic bias, and scalability limitations. …”
Get full text
Get full text
Get full text

Route optimization using shortest path method / Muhamad Faisal Amin Shakri by Shakri, Muhamad Faisal Amin

“…Each algorithm was tested to compute the shortest path, with results indicating that while all algorithms arrive at the same optimal route, their efficiency differs. …”
Get full text
Get full text

Optimized PV-Battery Systems using Backtracking Search Algorithm for Sustainable Energy Solutions by Abdolrasol M.G.M., Jern Ker P., Hannan M.A., Tiong S.K., Ayob A., Almadani J.F.S.

Harris Hawk Optimization-Based Deep Neural Networks Architecture for Optimal Bidding in the Electricity Market by Kavita Jain, Muhammed Basheer Jasser, Muzaffar Hamzah, Akash Saxena, Ali Wagdy Mohamed

“…In the power sector, competitive strategic bidding optimization has become a major challenge. …”
Get full text
Get full text
Get full text
Get full text
Get full text

Solving the Traveling Salesman’s Problem using the African Buffalo Optimization by Odili, Julius Beneoluchi, M. N. M., Kahar

“…The results obtained using the African Buffalo Optimization algorithm are very competitive. …”
Get full text
Get full text
Get full text