Constrained Optimization for Plane-Based Stereo
نویسندگان
چکیده
منابع مشابه
A Robust Knapsack Based Constrained Portfolio Optimization
Many portfolio optimization problems deal with allocation of assets which carry a relatively high market price. Therefore, it is necessary to determine the integer value of assets when we deal with portfolio optimization. In addition, one of the main concerns with most portfolio optimization is associated with the type of constraints considered in different models. In many cases, the resulted p...
متن کاملBlended biogeography-based optimization for constrained optimization
Biogeography-based optimization (BBO) is a new evolutionary optimization method that is based on the science of biogeography. We propose two extensions to BBO. First, we propose a blended migration operator. Benchmark results show that blended BRO outperforms standard BBO. Second, we employ blended BRO to solve constrained optimization problems. Constraints are handled by modifying the BRO immi...
متن کاملImproved Constrained PID Control Design based on Connvex-Concave Optimization
In this paper, an algorithm is proposed to improve the design of constrained PID controller based on convex-concave optimization. This design method is based on the optimization of a performance cost function, taking into account the stability and efficiency constraints with frequency domain analysis in which the concepts of sensitivity and complementary sensitivity has been used. It is shown, ...
متن کاملMulti-Constrained Optimization for Example-Based Synthesis
Table 1 in the paper presents related content generation approaches based on graph search, constraint graph search and dynamic programming. Column resource constraints/type denotes the number of resource constraints the algorithm can handle. Type refers to the demand, how a constraint might be satis ed/achieved. If a constraint needs to be satis ed exact, then it is referred to an equality cons...
متن کاملLifecycle-based Swarm Optimization Method for Constrained Optimization
Each biologic must go through a process from birth, growth, reproduction until death, this process known as life cycle. This paper borrows the biologic life cycle theory to propose a Lifecycle-based Swarm Optimization (LSO) algorithm. Based on some features of life cycle, LSO designs six optimization operators: chemotactic, assimilation, transposition, crossover, selection and mutation. In this...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 2018
ISSN: 1057-7149,1941-0042
DOI: 10.1109/tip.2018.2823543