Spectrum allocation of cognitive wireless network based on immune clone selection optimization by CHAI Zheng-yi1, LIU Fang1

“…The spectrum sensing process was described based on WRAN.By analyzing physical connection of cognitive wireless network,the mathematical model of spectrum allocation was given,and then it was converted into a constrained optimization problem,whose goal was to maximum the profit of network.An immune clone selection algorithm was proposed to solve the problem,and the algorithm convergent with probability 1 was proved.Finally,the simulation experiments were done to test the algorithm.The results showed that compared with CSGC algorithm（color-sensitive graph coloring） and GA-SA（spectrum allocation based on genetic algorithm）,this algorithm could achieve maximization of network profits.Meanwhile,the system simulation results based on WRAN confirmed its effectiveness.…”
Get full text

Optimization Design of 3Z（Ⅱ） Planetary Gear Train based on Parallel Selected Genetic Algorithm by Zhang Qiang, Liu Zefeng

“…The multiple object optimization model,whose objective functions are the minimum of volume of gear train and the maximum of transmission efficiency is built. The constrained optimization is transformed into unconstrained optimization by penalty function,and a solution algorithm is proposed based on parallelism selection genetic algorithm（ GA）.The case shows,the proposed method can apply to the optimization methods of 3Z（ Ⅱ） planetary gear train and the optimization effects are noticeable. …”
Get full text

Optimization of the Forcing Term for the Solution of Two-Point Boundary Value Problems by Gianni Arioli

“…Then the minimization problem becomes purely algebraic and can be solved by standard methods of constrained optimization, for example, with Lagrange multipliers. …”
Get full text

Synchronous Modification Design for Bilateral Tooth Surface of Spiral Bevel Gear by Dual Duplex Spread Blade Method by Jianjun Yang, Xinfang Hu, Hua Zhang, Shaowu Nie

“…The nonlinear constrained optimization function is used to derive the machining parameters of the gear. …”
Get full text

Optimization on Production-Inventory Problem with Multistage and Varying Demand by Duan Gang, Chen Li, Li Yin-Zhen, Song Jie-Yan, Akhtar Tanweer

“…A nonlinear hybrid integer constrained optimization is modeled to minimize the total cost including setup cost and holding cost in the planning horizon. …”
Get full text

Objective penalty function method for nonlinear programming with inequality constraints by Zhuolin Yan, Xiaowei Jiang, Siyao Wang

“…This paper presents a novel nonsmooth objective penalty function for inequality constrained optimization problems. A modified flattened aggregate function, which is a smooth approximation of the max-value function, is discussed. …”
Get full text

A Cooperative Coevolutionary Cuckoo Search Algorithm for Optimization Problem by Hongqing Zheng, Yongquan Zhou

“…Taking inspiration from an organizational evolutionary algorithm for numerical optimization, this paper designs a kind of dynamic population and combining evolutionary operators to form a novel algorithm, a cooperative coevolutionary cuckoo search algorithm (CCCS), for solving both unconstrained, constrained optimization and engineering problems. A population of this algorithm consists of organizations, and an organization consists of dynamic individuals. …”
Get full text

Improved Solutions for the Optimal Coordination of DOCRs Using Firefly Algorithm by Muhammad Sulaiman, Waseem, Shakoor Muhammad, Asfandyar Khan

“…It is a complex and highly nonlinear constrained optimization problem. In this problem, we have two types of design variables, which are variables for plug settings (PSs) and the time dial settings (TDSs) for each relay in the circuit. …”
Get full text

An Elitist Transposon Quantum-Based Particle Swarm Optimization Algorithm for Economic Dispatch Problems by Angus Wu, Zhen-Lun Yang

“…It is a complex and highly nonlinear constrained optimization problem. The proposed approach, double elitist breeding quantum-based particle swarm optimization (DEB-QPSO), makes use of two elitist breeding strategies to promote the diversity of the swarm so as to enhance the global search ability and an improved efficient heuristic handling technique to manage the equality and inequality constraints of ED problems. …”
Get full text

Sensitivity of Occupant Response Subject to Prescribed Corridors for Impact Testing by J.R. Crandall, W.D. Pilkey, W. Kang, C.R. Bass

“…By combining a time domain constrained optimization method and a multirigid body dynamics simulator, the upper and lower bounds of occupant responses subject to the regulated corridors were obtained. …”
Get full text

A Prediction-Correction Dynamic Method for Large-Scale Generalized Eigenvalue Problems by Xin-long Luo, Jia-ru Lin, Wei-ling Wu

“…First, the smallest generalized eigenvalue problem is converted into an equivalent-constrained optimization problem. Second, according to the Karush-Kuhn-Tucker conditions of this special equality-constrained problem, a special continuous dynamical system of differential-algebraic equations is obtained. …”
Get full text

Social Cognitive Optimization Algorithm for Approximate Path Generation Synthesis of Spherical 4R Linkage by Che Linxian, Huang Yonggang, Du Li

“…On this basis，a constrained optimization model is constructed to formulate the approximate synthesis problem of spherical 4R linkage for the path generation without prescribed timing. …”
Get full text

Graph-Based Symbolic Technique and Its Application in the Frequency Response Bound Analysis of Analog Integrated Circuits by E. Tlelo-Cuautle, S. Rodriguez-Chavez, A. A. Palma-Rodriguez

“…The derived H(s) of a given analog IC is used to compute the frequency response bounds (maximum and minimum) associated to the magnitude and phase of H(s), subject to some ranges of process variational parameters, and by performing nonlinear constrained optimization. Our simulations demonstrate the usefulness of the new GBST for deriving the exact symbolic expression for H(s), and the last section highlights the good agreement between the frequency response bounds computed by our variational analysis approach versus traditional Monte Carlo simulations. …”
Get full text

Mathematical modelling and dynamic optimization of phase-locked loop systems using hybrid PSO-gradient descent approach by Mrinal Kanti Rajak, Rajen Pudur

“…The hybrid optimization framework is formulated as a constrained optimization problem, where PSO provides global search capabilities while GD ensures local convergence. …”
Get full text

Online Coregularization for Multiview Semisupervised Learning by Boliang Sun, Guohui Li, Li Jia, Kuihua Huang

“…We propose a novel online coregularization framework for multiview semisupervised learning based on the notion of duality in constrained optimization. Using the weak duality theorem, we reduce the online coregularization to the task of increasing the dual function. …”
Get full text

DC algorithm for estimation of sparse Gaussian graphical models. by Tomokaze Shiratori, Yuichi Takano

“…Specifically, we convert the cardinality constraint into an equivalent constraint based on the largest-K norm, and reformulate the resultant constrained optimization problem into an unconstrained penalty form with a DC (difference of convex functions) representation. …”
Get full text

Energy Balanced Scheduling for Target Tracking with Distance-Dependent Measurement Noise in a WSN by Xiaoqing Hu, Ming Bao, Yu-Hen Hu, Bugong Xu

“…This is formulated as a multiobjective constrained optimization problem that minimizes both the state covariance of the GUKF algorithm and the variance of on-board residue energy of sensor nodes within the detection range of the target. …”
Get full text

Performance Analysis and Dimensional Multi-objective Optimization for an Asymmetry 2UPS-UP Parallel Mechanism by Jian Yi, Linxian Che, Bing He, Jie Li

“…Based on the performance evaluation and workspace analysis， an expensive constrained optimization model is constructed to formulate the design problem of dimensional parameters. …”
Get full text

New Robust Part-Based Model with Affine Transformations for Facial Landmark Localization and Detection in Big Data by Chentao Zhang, Habte Tadesse Likassa, Peidong Liang, Jielong Guo

“…Moreover, the search of the optimal parameters and affine transformations is cast as a constrained optimization programming. To mitigate the computations, a new set of equations is derived to update the parameters involved and the affine transformations iteratively in a round-robin manner. …”
Get full text

Optimal Pattern Synthesis of Linear Antenna Array Using Grey Wolf Optimization Algorithm by Prerna Saxena, Ashwin Kothari

“…It has potential to exhibit high performance in solving not only unconstrained but also constrained optimization problems. In this work, GWO has been applied to linear antenna arrays for optimal pattern synthesis in the following ways: by optimizing the antenna positions while assuming uniform excitation and by optimizing the antenna current amplitudes while assuming spacing and phase as that of uniform array. …”
Get full text