Article
Computer Science, Artificial Intelligence
Betul Sultan Yildiz, Sumit Kumar, Natee Panagant, Pranav Mehta, Sadiq M. Sait, Ali Riza Yildiz, Nantiwat Pholdee, Sujin Bureerat, Seyedali Mirjalili
Summary: The present study introduces a novel hybrid optimizer named AOA-NM (Arithmetic optimization-Nelder Mead) to optimize engineering design and manufacturing problems. By incorporating the Nelder-Mead local search methodology into the basic AOA framework, the study aims to overcome the local optima trap and improve solution quality. Numerical validation and comparative analysis with other metaheuristics demonstrate the efficacy and robustness of the proposed AOA-NM algorithm in handling challenging practical issues.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Materials Science, Characterization & Testing
Dildar Gurses, Nantiwat Pholdee, Sujin Bureerat, Sadiq M. Sait, Ali Riza Yildiz
Summary: This work introduces a new hybrid optimization algorithm (HWW-NM) that combines the Nelder-Mead local search algorithm with the water wave algorithm for solving real-world engineering optimization problems. The study demonstrates that HWW-NM is an effective approach for optimizing real-life problems, as shown through its application in manufacturing process parameter optimization.
Article
Materials Science, Characterization & Testing
Nantiwat Pholdee, Vivek K. Patel, Sadiq M. Sait, Sujin Bureerat, Ali Riza Yildiz
Summary: The novel HSHO-NM algorithm has been proven to be superior in solving grinding optimization problems compared to other algorithms.
Article
Materials Science, Characterization & Testing
Natee Panagant, Mustafa Yildiz, Nantiwat Pholdee, Ali Riza Yildiz, Sujin Bureerat, Sadiq M. Sait
Summary: The study uses a hybrid marine predators optimization algorithm to solve automotive design problems, demonstrating its capability for optimal component design in the industry.
Article
Engineering, Biomedical
Cao Junyue, Diyar Qader Zeebaree, Qingfeng Chen, Dilovan Asaad Zebari
Summary: This study proposes a hybrid model that combines AlexNet and Extreme Learning Machine (ELM) for breast cancer diagnosis using mammography images. The model improves the performance of AlexNet by applying batch normalization and avoids sub-optimal solutions in ELM using the chimp optimization algorithm (ChOA). The convergence behavior of ChOA is further enhanced using the Nelder-mead simplex (NEMS) technique. The evaluation of the proposed model using the CBIS-DDSM dataset demonstrates its effectiveness in breast cancer diagnosis.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Computer Science, Artificial Intelligence
Betul Sultan Yildiz, Nantiwat Pholdee, Sujin Bureerat, Ali Riza Yildiz, Sadiq M. Sait
Summary: The study focuses on the design of a robot gripper mechanism and proposes a new optimization method based on the grasshopper optimization algorithm and Nelder-Mead algorithm. By solving real-world engineering problems, the advantages of HGOANM are demonstrated.
Article
Computer Science, Artificial Intelligence
Mohamed Abdel-Basset, Reda Mohamed, Seyedali Mirjalili
Summary: The Whale Optimization Algorithm (WOA) is improved to solve multi-objective optimization problems by modifying the distance control factor, balancing movement direction, and using Nelder-Mead algorithm and PAES method to accelerate convergence. Experimental results demonstrate the superiority of the proposed algorithm compared to existing multi-objective algorithms.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Materials Science, Characterization & Testing
Pranav Mehta, Betul S. Yildiz, Sumit Kumar, Nantiwat Pholdee, Sadiq M. Sait, Natee Panagant, Sujin Bureerat, Ali Riza Yildiz
Summary: This article introduces a population-based algorithm called weighted mean of vectors (INFO) which is hybridized with the Nelder-Mead algorithm (HINFO-NM) for optimizing the standard benchmark function structural optimization of the vehicle suspension arm. The results show that the HINFO-NM algorithm is a robust optimizer that provides the best results compared to other algorithms and has scalability.
Article
Computer Science, Interdisciplinary Applications
Xinning Li, Hu Wu, Qin Yang, Shuai Tan, Peng Xue, Xianhai Yang
Summary: The study proposed a multistrategy hybrid adaptive whale optimization algorithm (MHWOA) to address the issues with WOA. Through experiments and comparisons, it was found that MHWOA outperformed other algorithms in terms of convergence speed and optimization performance, showing promising applications.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2022)
Article
Engineering, Chemical
Laszlo Hegely
Summary: This study investigates direct search methods for optimization in batch distillation. The Nelder-Mead simplex and the Box-complex algorithms are found to outperform the genetic algorithm with a lower number of simulations.
SEPARATION AND PURIFICATION TECHNOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Ferhat Hamza, Djeddou Ferhat, Hammoudi Abderazek, Mohammed Dahane
Summary: This study proposes a new approach for reliability-based design optimization (RBDO) in mechanical engineering. The approach combines the reliable design space technique with an efficient hybrid algorithm, and is able to handle mixed design variables. The study analyzes the applicability and efficiency of the approach in six mechanical problems, and presents optimal solutions for two RBDO problems. An industry case study is also conducted to investigate the reliability of the proposed method in solving challenging mechanical RBDO problems.
ENGINEERING WITH COMPUTERS
(2022)
Article
Computer Science, Artificial Intelligence
Sina Shirgir, Salar Farahmand-Tabar, Pouya Aghabeigi
Summary: This paper proposes an optimization method called NM-CSS, which combines Nelder-Mead simplex concepts and charged system search algorithm. By incorporating NM into metaheuristic algorithms, the convergence speed and solution quality can be notably improved. The proposed method is verified through mathematical benchmark functions and applied to the optimum design of a reinforced concrete bridge, showing stability and robustness compared to standard CSS.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
Article
Mathematics
Ziga Rojec, Tadej Tuma, Jernej Olensek, Arpad Burmen, Janez Puhan
Summary: This study introduces a new adaptive schema obtained through a meta-optimization process for the Nelder-Mead simplex search algorithm. By optimizing a schema candidate with eight parameters using Parallel Simulated Annealing with Differential Evolution, a global minimum representing the proposed schema is achieved. Comparisons with existing adaptive schemas on various benchmark problem sets show that the optimized schema outperforms in terms of accuracy and convergence speed.
Article
Materials Science, Multidisciplinary
Aynur Ayvalik, Levent Aydin
Summary: The study evaluated the buckling resistance and first ply failure behavior of synthetic and vegetable fiber-reinforced composites. It highlighted the probability of first ply failure before buckling, which was found to occur especially in vegetable fiber-reinforced composites. Results showed that first ply failure occurred before buckling in various loading cases of the structure.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2022)
Article
Engineering, Mechanical
Durgesh Haribhau Salunkhe, Guillaume Michel, Shivesh Kumar, Marcello Sanguineti, Damien Chablat
Summary: A novel optimization methodology is proposed in this article, combining local search with global search to explore the optimization space of parallel kinematic manipulators more quickly and efficiently. The complexities of closed-loop kinematic chain optimization are discussed, taking into account the dimension of the optimization problem and different constraints, as well as methods to avoid internal collisions.
MECHANISM AND MACHINE THEORY
(2022)
Review
Computer Science, Interdisciplinary Applications
Ali Riza Yildiz, Hammoudi Abderazek, Seyedali Mirjalili
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2020)
Article
Computer Science, Artificial Intelligence
Hammoudi Abderazek, Ali Riza Yildiz, Seyedali Mirjalili
KNOWLEDGE-BASED SYSTEMS
(2020)
Article
Materials Science, Characterization & Testing
Betul Sultan Yildiz, Ali Riza Yildiz, Nantiwat Pholdee, Sujin Bureerat, Sadiq M. Sait, Vivek Patel
Article
Engineering, Aerospace
Pakin Champasak, Natee Panagant, Nantiwat Pholdee, Sujin Bureerat, Ali Riza Yildiz
AEROSPACE SCIENCE AND TECHNOLOGY
(2020)
Review
Computer Science, Interdisciplinary Applications
Zeng Meng, Gang Li, Xuan Wang, Sadiq M. Sait, Ali Riza Yildiz
Summary: Reliability-based design optimization (RBDO) is an excellent method for balancing economy and safety, but challenges such as global convergence capacity and complex design variables hinder its wider application. This study focuses on applying metaheuristic algorithms to RBDO for improved global convergence, robustness, accuracy, and computational speed, highlighting the differences between metaheuristic and gradient algorithms.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2021)
Article
Materials Science, Characterization & Testing
Betul Sultan Yildiz, Ali Riza Yildiz, Emre Isa Albak, Hammoudi Abderazek, Sadiq M. Sait, Sujin Bureerat
Article
Computer Science, Artificial Intelligence
Betul Sultan Yildiz, Nantiwat Pholdee, Sujin Bureerat, Ali Riza Yildiz, Sadiq M. Sait
Summary: The study focuses on the design of a robot gripper mechanism and proposes a new optimization method based on the grasshopper optimization algorithm and Nelder-Mead algorithm. By solving real-world engineering problems, the advantages of HGOANM are demonstrated.
Article
Engineering, Mechanical
Emre Isa Albak, Erol Solmaz, Ali Riza Yildiz, Ferruh Ozturk
Summary: Inspired by the mechanical properties of graphene, the study focused on the design of graphene type multi-cell tubes. The best model, GTMT5, was determined using COPRAS and multiobjective optimization methods, showing that circular structures in multi-cell tubes have a significant impact on crashworthiness performance.
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2021)
Correction
Engineering, Mechanical
Emre Isa Albak, Erol Solmaz, Ali Riza Yildiz, Ferruh Ozturk
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2021)
Article
Mathematical & Computational Biology
Yodsadej Kanokmedhakul, Natee Panagant, Sujin Bureerat, Nantiwat Pholdee, Ali R. Yildiz
Summary: This study introduces a self-adaptive teaching-learning-based optimization algorithm for aircraft parameter estimation, which is shown to have good search performance through numerical validation and experimental results, making it a baseline for aircraft parameter estimation.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Betul Sultan Yildiz, Sumit Kumar, Nantiwat Pholdee, Sujin Bureerat, Sadiq M. Sait, Ali Riza Yildiz
Summary: This paper proposes a new metaheuristic algorithm called Chaotic Levy flight distribution (CLFD) algorithm, which is aimed at solving engineering optimization problems in the physical world. The results of the study show that CLFD algorithm has advantages in solving optimization problems and can effectively find optimal solutions.
Article
Materials Science, Characterization & Testing
Ahmet Can Gunaydin, Ali Riza Yildiz, Necmettin Kaya
Summary: In this study, a multi-objective optimization is conducted using non-dominated sorting genetic algorithm-II to optimize the build orientation for three-dimensional parts in additive manufacturing. Estimation methods are developed to compute the amount of support structure and build time, and the optimized results are visualized and evaluated for complex parts. The automation of the preprocessing stage eliminates the need for design knowledge, contributing to the reduction of support structure volume and build time in additive manufacturing.
Article
Materials Science, Characterization & Testing
Betul Sultan Yildiz, Pranav Mehta, Sadiq M. Sait, Natee Panagant, Sumit Kumar, Ali Riza Yildiz
Summary: The article introduces a novel hybrid metaheuristic algorithm, HAHA-SA, based on the artificial hummingbird algorithm and simulated annealing problem, which shows dominance in efficiently solving complex multi-constrained design optimization problems.
Article
Engineering, Multidisciplinary
Bansi D. Raja, Vivek K. Patel, Ali Riza Yildiz, Prakash Kotecha
Summary: This paper compares the performance of scientific law-inspired optimization algorithms for real-life constrained optimization applications. The algorithms are evaluated using a constrained engineering application of the Stirling heat engine system. The effects of constraint handling methods and output constraints on algorithm performance are analyzed and presented.
ENGINEERING OPTIMIZATION
(2023)
Article
Computer Science, Artificial Intelligence
Sumit Kumar, Betul Sultan Yildiz, Pranav Mehta, Natee Panagant, Sadiq M. Sait, Seyedali Mirjalili, Ali Riza Yildiz
Summary: A novel metaheuristic algorithm called Chaotic Marine Predators Algorithm (CMPA) is proposed for engineering problem optimization, which integrates the exploration merits of MPA and the exploitation capabilities of chaotic maps. The proposed algorithm is applied to decode complex design and manufacturing problems and its performance is evaluated on CEC 2020 numerical problems and constrained design problems. Additionally, case studies and statistical analysis are conducted to compare CMPA with other algorithms, showing its significantly improved performance.
KNOWLEDGE-BASED SYSTEMS
(2023)
