Suchergebnisse - constrained quadratic programming evolution algorithms

An optimal neuron evolution algorithm for constrained quadratic programming in image restoration von Guan, Ling

“… The proposed algorithm is motivated by the symmetric positive-definite quadratic programming structure inherent in restoration …”
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Energy-optimal spacecraft attitude maneuver path-planning under complex constraints von Wu, Changqing, Han, Xiaodong

“… The constrained attitude maneuver problem is then formulated as the non-convex quadratically constrained quadratic programming problem which targets the minimal energy-cost …”
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A fast constrained state transition algorithm von Zhou, Xiaojun, Tian, Jituo, Long, Jianpeng, Jin, Yaochu, Yu, Guo, Yang, Chunhua

“… In this paper, a simplified state transition algorithm (STA) and a novel constraint-handling technique are proposed to address the above issues for small size constrained optimization problems …”
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A hybrid algorithm for constrained portfolio selection problems von Lwin, Khin, Qu, Rong

“… In this work, we propose and investigate a new hybrid algorithm integrating the population based incremental learning and differential evolution algorithms for the portfolio selection problem …”
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Hybrid GSA-SQP algorithm for optimal coordination of directional overcurrent relays von Radosavljevic, Jordan, Jevtic, Miroljub

“… This study presents a hybrid gravitational search algorithm-sequential quadratic programming (GSA-SQP …”
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An orthogonal parallel symbiotic organism search algorithm embodied with augmented Lagrange multiplier for solving constrained optimization problems von Panda, Arnapurna, Pani, Sabyasachi

“… Many practical engineering design problems need constrained optimization. The literature reports several meta-heuristic algorithms have been applied to solve constrained optimization problems …”
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A modified augmented Lagrangian with improved grey wolf optimization to constrained optimization problems von Long, Wen, Liang, Ximing, Cai, Shaohong, Jiao, Jianjun, Zhang, Wenzhuan

“… This paper presents a novel constrained optimization algorithm named MAL-IGWO, which integrates the benefit of the improved grey wolf optimization (IGWO …”
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Reconfigurable Mechanical System Design for Tracking an Ankle Trajectory Using an Evolutionary Optimization Algorithm von Calva-Yanez, Maria Barbara, Nino-Suarez, Paola Andrea, Portilla-Flores, Edgar Alfredo, Aponte-Rodriguez, Jorge Alexander, Santiago-Valentn, Eric

“… as a base the experimental data reported in literature. A dimensional synthesis for a mechanism to follow the drop type trajectories was carried out as a constrained …”
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Dispatch for a Continuous-Time Microgrid Based on a Modified Differential Evolution Algorithm von Zhang, Lei, Tang, Rui

“… There is a lack of continuous-time methods in a microgrid, so a continuous-time model is proposed and solved by differential evolution (DE) in this work …”
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A Bi-Level Branch and Bound Method for Economic Dispatch With Disjoint Prohibited Zones Considering Network Losses von Ding, Tao, Bo, Rui, Li, Fangxing, Sun, Hongbin

“… The approach employs binary variables for each prohibited zone and utilizes the B-coefficient for network losses, which can be transformed into a mixed-integer quadratically constrained quadratic programming (MIQCQP …”
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Differential evolution with multi-constraint consensus methods for constrained optimization von Hamza, Noha M., Sarker, Ruhul A., Essam, Daryl L.

“… Hence, in this research, for solving constrained optimization problems, we introduce different variants of the Differential Evolution algorithm, with multiple constraint consensus methods …”
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Sub-optimal recursively feasible Linear Parameter-Varying predictive algorithm for semi-active suspension control von Morato, Marcelo Menezes, Normey-Rico, Julio Elias, Sename, Olivier

“… This study proposes an algorithm to enhance the comfort of passengers in a vehicle with semi-active suspensions …”
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Scalar Calibration of Total Instrument Errors of Tri-Axial Magnetometer Using Constrained Optimization Independent of Magnetic Field Intensity von Huang, Yu, Wu, Lihua, Wang, Yang, Xu, Yiwen

“… In this article, a scalar calibration method of total instrument errors of TAM, independent of magnetic field intensity, is proposed based on the constrained optimization using the sequential quadratic programming (SQP) algorithm …”
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Multi-start Space Reduction (MSSR) surrogate-based global optimization method von Dong, Huachao, Song, Baowei, Dong, Zuomin, Wang, Peng

“… In this process, Latin hypercube sampling is used to acquire the starting points and sequential quadratic programming (SQP …”
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COMPARISON OF CONSTRAINED OPTIMIZATION FUNCTIONS von Bogdan, Constantin, Nan, Marin Silviu, Grecea, Dănuţ, Mamara, Nicoleta Loredana

“… Numerical algorithms for constrained nonlinear optimization can be broadly categorized into gradient-based methods and direct search methods …”
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New Hybrid Perturbed Projected Gradient and Simulated Annealing Algorithms for Global Optimization von Belkourchia, Yassin, Es-Sadek, Mohamed Zeriab, Azrar, Lahcen

“… The main objective of this works is to present an efficient hybrid optimization approach using a new coupling technique for solving constrained engineering design problems …”
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A hybrid GA–PS–SQP method to solve power system valve-point economic dispatch problems von Alsumait, J.S., Sykulski, J.K., Al-Othman, A.K.

“… ) and Sequential Quadratic Programming (SQP) techniques to solve the well-known power system Economic dispatch problem (ED …”
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Optimization Algorithms for Kinematically Optimal Design of Parallel Manipulators von Lou, Yunjiang, Zhang, Yongsheng, Huang, Ruining, Chen, Xin, Li, Zexiang

“… This paper aims to provide a guideline to choose algorithms for optimal design problems. Typical algorithms, the sequential quadratic programming (SQP …”
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Sequential Quadratic Programming (SQP) for optimal control in direct numerical simulation of turbulent flow von Badreddine, Hassan, Vandewalle, Stefan, Meyers, Johan

“… The optimization algorithm is based on Sequential Quadratic Programming (SQP) in combination with a damped formulation of the limited-memory BFGS method …”
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Evolutionary Optimization of Constrained k-Means Clustered Assets for Diversification in Small Portfolios von Vijayalakshmi Pai, G.A., Michel, T.

“… The problem of portfolio optimization has been rendered complex for direct solving by traditional and numerical approaches when constraints that model investor …”
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