A Genetic Crow Search Algorithm for Optimization of Operation Sequencing in Process Planning

Đurđev, Mića; Čep, Róbert; Lukić, Dejan; Antić, Aco; Popović, Branislav; Milošević, Milan

doi:10.3390/app11051981

Cited by 10 publications

(5 citation statements)

References 26 publications

(55 reference statements)

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“…Djurdjev et al [ 36 ] proposed a novel genetic crow search approach (GCSA) for operation sequencing in process planning. The traditional CSA algorithm has been improved by adopting genetic strategies such as tournament selection, three-string crossover, shift mutation and resource mutation.…”

Section: Related Research Studiesmentioning

confidence: 99%

A Hybrid Grey Wolf Optimizer for Process Planning Optimization with Precedence Constraints

et al. 2021

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Process planning optimization is a well-known NP-hard combinatorial problem extensively studied in the scientific community. Its main components include operation sequencing, selection of manufacturing resources and determination of appropriate setup plans. These problems require metaheuristic-based approaches in order to be effectively and efficiently solved. Therefore, to optimize the complex process planning problem, a novel hybrid grey wolf optimizer (HGWO) is proposed. The traditional grey wolf optimizer (GWO) is improved by employing genetic strategies such as selection, crossover and mutation which enhance global search abilities and convergence of the traditional GWO. Precedence relationships among machining operations are taken into account and precedence constraints are modeled using operation precedence graphs and adjacency matrices. Constraint handling heuristic procedure is adopted to move infeasible solutions to a feasible domain. Minimization of the total weighted machining cost of a process plan is adopted as the objective and three experimental studies that consider three different prismatic parts are conducted. Comparative analysis of the obtained cost values, as well as the convergence analysis, are performed and the HGWO approach demonstrated effectiveness and flexibility in finding optimal and near-optimal process plans. On the other side, comparative analysis of computational times and execution times of certain MATLAB functions showed that the HGWO have good time efficiency but limited since it requires more time compared to considered hybrid and traditional algorithms. Potential directions to improving efficiency and performances of the proposed approach are given in conclusions.

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Section: Related Research Studiesmentioning

confidence: 99%

A Hybrid Grey Wolf Optimizer for Process Planning Optimization with Precedence Constraints

et al. 2021

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“…High-quality companies use such systems that give the necessary information [29,30]. The term "information system" can be defined as a system of formalized procedures that enable the management of internal and external information, which is used for planning, management, and control purposes [19,[22][23][24][25][26][27][28][29][30][31][32][33][34][35].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Selected Surface Topography Parameters and Deformation during Milling of Vertical Thin-Walled Structures from Titanium Alloy Ti6Al4V

et al. 2023

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Thin-walled elements are widely used in the aerospace industry, where the aim is to reduce the process time and the weight of the structure while ensuring the sufficient quality of the finished product. Quality is determined by geometric structure parameters and dimensional and shape accuracy. The main problem encountered during the milling of thin-walled elements is the deformation of the product. Despite the various methods available for measuring deformation, more are still being developed. This paper presents selected surface topography parameters and deformation of vertical thin-walled elements during an experiment under controlled cutting conditions for samples from titanium alloy Ti6Al4V. Constant parameters of feed (f), cutting speed (Vc,) and tool diameter (D) were used. Samples were milled using a tool for general-purpose and a tool for high-performance machining, as well as two different machining approaches: with greater involvement of face milling, and cylindrical milling with a constant material removal rate (MRR). For samples with vertical thin walls, the parameters of waviness (Wa, Wz,) and roughness (Ra, Rz) were measured using a contact profilometer in the selected areas on both processed sides. Deformations were determined in selected cross-sections perpendicular and parallel to the bottom of the sample using GOM measurement (GOM—Global Optical Measurement). The experiment showed the possibility of measuring deformations and deflection arrows of thin-walled elements proceeded from titanium alloy using GOM measurement. Differences in selected surface topography parameters and deformations were observed for the machining methods used with an increased cross-section of the cut layer. A sample with a deviation of 0.08 mm from the assumed shape was obtained.

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“…B-spline curves retain the intuitiveness and convexity of Bezier curves. It can only affect adjacent B-spline curves when a change occurs at a certain fixed point [20]. It is a special representation form in numerical analysis of the mathematical sub discipline, which is a linear combination of B-spline basis curves.The numerical expression is illustrated in Equation (9).…”

Section: A Kinematics and Tp Of Rehabilitation Robotmentioning

confidence: 99%

Trajectory Planning Application of Rehabilitation Robots Based on Improved CSA Algorithm

Xia

2023

IEEE Access

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With the aging global population, there are more patients with hemiplegia caused by stroke. The demand for rehabilitation robots to assist rehabilitation therapists is also increasing. To solve the above problems, a reasonable trajectory planning of the rehabilitation robot joints is constructed to achieve rehabilitation assistance, improve safety and practicality.Firstly, a Kinematics model is constructed, and B-spline is applied to realize the trajectory planning of the rehabilitation robot. By introducing crow search algorithm and multiple crow search algorithms, the energy impact multi-objective optimization for the upper limb movement of the rehabilitation robot is carried out. Relevant experiments are designed to compare and verify the optimization effects of the algorithms. From the results, by optimizing the crow search algorithm, only 25.36% and 34.20% of the impact and energy are used. The average impact size per unit of time decreases by 74.68%. The energy consumption per unit time decreases by 65.39%.After optimizing the crow search algorithm, the impact and energy per unit time are only 14.41% and 17.25%, respectively. The energy per unit time decreases by 74.53%, and the impact decreases by 82.97%. Compared with other algorithms, the space complexity of the improved method is very small, and the standard deviation is 0.03. The optimization algorithm performs well in trajectory planning optimization. It is of great significance in the trajectory planning and rehabilitation role of rehabilitation robots.

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A Genetic Crow Search Algorithm for Optimization of Operation Sequencing in Process Planning

Cited by 10 publications

References 26 publications

A Hybrid Grey Wolf Optimizer for Process Planning Optimization with Precedence Constraints

A Hybrid Grey Wolf Optimizer for Process Planning Optimization with Precedence Constraints

Investigation of Selected Surface Topography Parameters and Deformation during Milling of Vertical Thin-Walled Structures from Titanium Alloy Ti6Al4V

Trajectory Planning Application of Rehabilitation Robots Based on Improved CSA Algorithm

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