Distributed Constrained Optimization Algorithms for Drones by Hongzhe Liu

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A Hybrid Search Model for Constrained Optimization by Xiaoli Gao, Yangfei Yuan, Jie Li, Weifeng Gao

“…This paper proposes a hybrid model based on decomposition for constrained optimization problems. Firstly, a constrained optimization problem is transformed into a biobjective optimization problem. …”
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Improved Whale Optimization Algorithm for Solving Constrained Optimization Problems by Gui-Ying Ning, Dun-Qian Cao

“…Numerical results show that the proposed IWOA has obvious advantages such as stronger global search ability, better stability, faster convergence speed, and higher convergence accuracy; it can be used to effectively solve complex constrained optimization problems.…”
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A Fractional Trust Region Method for Linear Equality Constrained Optimization by Honglan Zhu, Qin Ni, Liwei Zhang, Weiwei Yang

“…A quasi-Newton trust region method with a new fractional model for linearly constrained optimization problems is proposed. We delete linear equality constraints by using null space technique. …”
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Application of PDE Constrained Optimization in Internal Combustion Engine Pollution Control by Hongliang Guan

“…Aiming at the problem of secondary pollution of waters due to the difficulty of controlling the dosage of purifiers in the treatment of internal combustion engine pollution, a partial differential equation (referred to as PDE) constrained optimization algorithm based on l1-norm is proposed. …”
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A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems by Wali Khan Mashwani, Ruqayya Haider, Samir Brahim Belhaouari

“…Constrained optimization plays an important role in many decision-making problems and various real-world applications. …”
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A Generalized Gradient Projection Filter Algorithm for Inequality Constrained Optimization by Wei Wang, Shaoli Hua, Junjie Tang

“…A generalized gradient projection filter algorithm for inequality constrained optimization is presented. It has three merits. …”
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Corrigendum to “A Fractional Trust Region Method for Linear Equality Constrained Optimization” by Honglan Zhu, Qin Ni, Liwei Zhang, Weiwei Yang

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Global Convergence of a New Nonmonotone Filter Method for Equality Constrained Optimization by Ke Su, Wei Liu, Xiaoli Lu

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A New Augmented Lagrangian Method for Equality Constrained Optimization with Simple Unconstrained Subproblem by Hao Zhang, Qin Ni

“…We propose a new method for equality constrained optimization based on augmented Lagrangian method. …”
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A class of constrained optimal control problems arising in an immunotherapy cancer remission process by Yineng Ouyang, Zhaotao Liang, Zhihui Ma, Lei Wang, Zhaohua Gong, Jun Xie, Kuikui Gao

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Contingency-Constrained Optimal Power Flow Using Simplex-Based Chaotic-PSO Algorithm by Zwe-Lee Gaing, Chia-Hung Lin

“…This paper proposes solving contingency-constrained optimal power flow (CC-OPF) by a simplex-based chaotic particle swarm optimization (SCPSO). …”
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The Constants in A Posteriori Error Indicator for State-Constrained Optimal Control Problems with Spectral Methods by Jianwei Zhou

“…We employ Legendre-Galerkin spectral methods to solve state-constrained optimal control problems. The constraint on the state variable is an integration form. …”
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Surrogate-assisted global and distributed local collaborative optimization algorithm for expensive constrained optimization problems by Xiangyong Liu, Zan Yang, Jiansheng Liu, Junxing Xiong, Jihui Huang, Shuiyuan Huang, Xuedong Fu

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Robust chance-constrained optimization algorithm design for secure wireless powered backscatter communication system by Wanming HAO, Jinkun XIE, Gangcan SUN, Zhengyu ZHU, Yiqing ZHOU

“…For the channel uncertainty and security problems in wireless powered backscatter communication (WPBC) system, a robust chance-constrained optimization algorithm was proposed.Firstly, an optimization problem was established to maximize the minimum transmission rate of the system based on channel uncertainty considering eavesdropping data transmission rate constraints, minimum energy collection constraints and device reflectivity constraints.In order to solve the problem, the original uncertainty problem was transformed into a deterministic optimization problem by using the security approximation method based on Bernstein inequality.Then, combining the properties of inequality, the corresponding auxiliary variables were introduced to transform the deterministic optimization problem into a convex optimization problem, and the standard convex optimization algorithm was used to solve the problem.Finally, the simulation results show the effectiveness of the proposed algorithm.…”
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Projected Adaptive Cubic Regularization Algorithm with Derivative-Free Filter Technique for Box Constrained Optimization by Lingyun He, Peng Wang, Detong Zhu

“…An adaptive projected affine scaling algorithm of cubic regularization method using a filter technique for solving box constrained optimization without derivatives is put forward in the passage. …”
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Constants within Error Estimates for Legendre-Galerkin Spectral Approximations of Control-Constrained Optimal Control Problems by Jianwei Zhou

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Multilevel Constrained Bandits: A Hierarchical Upper Confidence Bound Approach with Safety Guarantees by Ali Baheri

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Application of Covariance Matrix Adaptation-Evolutionary Strategy for Modified Constrained Optimal Power Flow Problem Incorporating Valve Point and Emission Effect by Hari Krishna Achuthan Parthasarathy, Madhusudan Saranathan, Tamilselvi S., Karuppiah N., Praveen Kumar Balachandran, Dhanamjayulu C., Baseem Khan, Thamilmaran A.

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Constrained Bayesian Optimization: A Review by Sasan Amini, Inneke Vannieuwenhuyse, Alejandro Morales-Hernandez

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