A5057176691- Advanced Multi-Objective Optimization Algorithms
- Metaheuristic Optimization Algorithms Research
- Topology Optimization in Engineering
- Mechanical Engineering and Vibrations Research
- Probabilistic and Robust Engineering Design
- Manufacturing Process and Optimization
- Evolutionary Algorithms and Applications
- Cellular and Composite Structures
- Gear and Bearing Dynamics Analysis
- Additive Manufacturing and 3D Printing Technologies
- Advanced machining processes and optimization
- Engineering Applied Research
- Artificial Immune Systems Applications
- Neural and Behavioral Psychology Studies
- Composite Structure Analysis and Optimization
- Transportation Safety and Impact Analysis
- Heat Transfer and Optimization
- Design Education and Practice
- Neural dynamics and brain function
- Advanced Numerical Analysis Techniques
- Functional Brain Connectivity Studies
- Optimal Experimental Design Methods
- Vehicle emissions and performance
- Structural Health Monitoring Techniques
- Additive Manufacturing Materials and Processes
Bursa Uludağ Üni̇versi̇tesi̇
2010-2025
Dalian University of Technology
2022
Turkish Aerospace Industries (Turkey)
2019-2022
Bursa Technical University
2011-2017
Ruhr University Bochum
2013-2015
TU Dresden
2014
TOBB University of Economics and Technology
2012-2013
University of Michigan
2008
In this paper, a new Multi-Objective Arithmetic Optimization Algorithm (MOAOA) is proposed for solving Real-World constrained Multi-objective Problems (RWMOPs). Such problems can be found in different fields, including mechanical engineering, chemical process and synthesis, power electronics systems. MOAOA inspired by the distribution behavior of main arithmetic operators mathematics. The multi-objective version formulated developed from recently introduced single-objective (AOA) through an...
Abstract Structural design and optimization are important topics for the control of industrial robots. The motivation behind this research is to a robot gripper mechanism. To explore robust mechanism, new approach based on grasshopper algorithm Nelder–Mead developed requiring fast accurate solution. Additionally, vehicle side crash problem, multi‐clutch disc manufacturing problem solved with method show advantages technique (HGOANM). Both engineering comparisons production results in which...
Abstract This work proposed a new metaheuristic dubbed as Chaotic Lévy flight distribution (CLFD) algorithm, to address physical world engineering optimization problems that incorporate the chaotic maps in elementary (LFD). Hybridization aims increase LFD rate of convergence while also providing problem‐free approach. The methodology is investigated for five case studies constrained issues followed by shape structural design. outcomes from CFLD algorithm are further contrasted with its...
Abstract The modernization in automobile industries has been booming recent times, which led to the development of lightweight and fuel-efficient design different components. Furthermore, metaheuristic algorithms play a significant role obtaining superior optimized designs for vehicle Hence, hunger game search (HGS) algorithm is applied optimize suspension arm (SA) by reduction mass vis-à-vis volume. performance HGS was accomplished comparing achieved results with well-established...
Abstract Thermal system optimization is always a challenging task due to several constraints and critical concepts of thermo-hydraulic aspects. Heat exchangers are one those devices that widely adopted in thermal industries for various applications such as cryogenics, heat recovery, transfer applications. According the flow configurations enhancement fins, classified plate-fin exchangers, shell tube tube-fin exchangers. This article addresses economic challenge using cheetah (CO) algorithm....
Abstract Nature-inspired metaheuristic algorithms are gaining popularity with their easy applicability and ability to avoid local optimum points, they spreading wide application areas. Meta-heuristic optimization used achieve an design in engineering problems aiming obtain lightweight designs. In this article, structural methods the process of achieving a seat bracket. As result topology optimization, new concept bracket was created shape optimization. mass stress values obtained depending...
Abstract In this article, a new prairie dog optimization algorithm (PDOA) is analyzed to realize the optimum economic design of three well-known heat exchangers. These exchangers found numerous applications in industries and are an imperative part entire thermal systems. Optimization these includes knowledge thermo-hydraulic designs, parameters critical constraints. Moreover, cost factor always challenging task optimize. Accordingly, total optimization, including initial maintenance, has...
Abstract In this present work, mechanical engineering optimization problems are solved by employing a novel optimizer (HFDO-DOBL) based on physics-based flow direction (FDO) and dynamic oppositional-based learning. Five real-world problems, viz. planetary gear train, hydrostatic thrust bearing, robot gripper, rolling multiple disc clutch brake, considered. The computational results obtained HFDO-DOBL compared with several newly proposed algorithms. statistical analysis demonstrates the...
Abstract Nature-inspired metaheuristic optimization algorithms have many applications and are more often studied than conventional techniques. This article uses the mountain gazelle optimizer, a recently created algorithm, artificial neural network to optimize mechanical components in relation vehicle component optimization. The family formation, territory-building, food-finding strategies of gazelles serve as major inspirations for algorithm. In order various engineering challenges, base...
Abstract It has been interesting in industrial applications due to the advantages provided by laminated composite applications. Composite materials are of great importance design optimization they provide, such as lightweight, high strength value, and flexibility. Finite element programs artificial intelligence techniques developed recent years effectively used materials. In order optimize angular orientations disc, analyses made using finite program. Particle swarm algorithm (PSO), genetic...
Abstract Optimization techniques play a pivotal role in enhancing the performance of engineering components across various real-world applications. Traditional optimization methods are often augmented with exploitation-boosting due to their inherent limitations. Recently, nature-inspired algorithms, known as metaheuristics (MHs), have emerged efficient tools for solving complex problems. However, these algorithms face challenges such imbalance between exploration and exploitation phases,...
Abstract Crayfish Optimization Algorithm (COA) is innovative and easy to implement, but the crayfish search efficiency decreases in later stage of algorithm, algorithm fall into local optimum. To solve these problems, this paper proposes an modified optimization (MCOA). Based on survival habits crayfish, MCOA environmental renewal mechanism that uses water quality factors guide seek a better environment. In addition, integrating learning strategy based ghost antagonism enhances its ability...