Testing and optimization of a semi- automatic prostate boundary segmentation algorithm using virtual operators. Medical Physics 2003;30(7):1637-47.Ladak H, Wang Y, Downey D, Fenster A, Testing and Optimization of a Semi-Automatic Prostate Boundary Segmentation Algorithm using Virtual Operators. ...
The Whale Optimization Algorithm (WOA) is a nature-inspired algorithm that mimics the hunting pattern of humpback whales. It involves three main steps: encircling prey, bubble-net attack, and searching for prey. In the algorithm, the location of the optimal solution is initially unknown and is ...
A Metaheuristic Optimization Algorithm refers to a family of methods used in computer science that aim to find a global optimum by repeatedly evaluating the objective function without relying on gradient information. These algorithms, such as evolutionary algorithms, particle swarm optimization, and simula...
The exponential distribution optimizer (EDO) represents a heuristic approach, capitalizing on exponential distribution theory to identify global solutions for complex optimization challenges. This study extends the EDO's applicability by introducing its
https://ocw.mit.edu/courses/sloan-school-of-management/15-082j-network-optimization-fall-2010/assignments/ 本文档内容主要参考《NETWORK FLOWS》[3]完成,另外上述进阶内容也可参考该文献进行学习。 另外,关于本文档介绍的基础算法也可参考《Development and testing of dynamic traffic assignment and simulation ...
Inspired by the basic theory of Fruit Fly Optimization Algorithm, in this paper, cat mapping was added to the original algorithm, and the individual distribution and evolution mechanism of fruit fly population were improved in order to increase the search speed and accuracy. The flowchart of the ...
This paper aims to propose a table tennis target detection (TD) method based on deep learning (DL) and multi-scale feature fusion (MFF) to improve the detection accuracy of the ball in table tennis competition, optimize the training process of athletes,
to skills such as phone calls, text messages, and schedules. Compared with single-task independent learning, the general accuracy rate can be increased by 1% to 3%. Combined with meticulous data-driven optimization and rule verification, it can basically achieve a recall rate of more than 95%....
The Probabilistic Roadmap technique iteratively grows such a roadmap, while the tree-based techniques represent the same roadmap as a tree for a single source and single goal problem. The optimization represents multiple trajectories in parallel and optimizes them, in pursuit to get the best ...
In contrast to non-functional testing, function testing of GUI insures a proper interaction between the user and the application interface without dealing with the coding internals. In this paper, a strategy for GUI functional testing using Simplified Swarm Optimization (SSO) is proposed. The SSO ...