Description: Unit 1. Overview of User-Centered Design and Testing
In this unit, we introduce the basic principles of user interface design. We cover two facets of UI design: the construction of interactive programs and the design of their behavior. The latter is grounded on the principles of human psychology and carried out through the techniques of heuristic evaluation and think-aloud user testing.
When you are done with this unit, you should complete the multiple-choice quiz. In addition, you should complete and submit the exercise at the end of this unit (following module 1.3).
• 1.1 Foundation for User-Centered Design and Testing
• 1.2 A Tool for Creating User Interfaces: Visual Basic
• 1.3 Tools for Evaluating Usability: Heuristics and Think-Aloud Testing
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Author:mani |
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Description: ：智能算法如粒子群算法已被应用于PID控制器的参数优化，以弥补传统优化方法容易产生振荡和较大超调量
的不足，但是粒子群算法存在易于早熟的缺点，在分析量子粒子群算法的基础上，提出了使用量子粒子群算法优化PID控
制器的参数。为了兼顾控制系统的各项性能指标，根据控制器的实际要求对各项指标进行加权作为算法的目标函数，对
PID控制器进行多目标寻优。通过2个传递函数实例，分别使用z—N、粒子群算法和量子粒子群算法进行了PID控制器
参数优化设计，并对结果进行了分析。-Abstract：Heuristics such as particle swarnl optimization is employed to enhance the capability of traditional techniques，
which is easy to produce surge and big overshoot，but PS0 may be trapped in the local optima of the objective and lead to poor performance．
This paper propesed the quantum-behaved particle 8wsl in optimization for the parameter optimization of PID controller．
A fitness function containing performance indexes Was defined and the algorithm Was used in multi-object optimization of PID controllers．
Two examples were given to illustrate the design procedure and exhibit the effectiveness of the proposed method via tomo
parison study with the existing Z—N and PSO approaches． Platform: |
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Author:dhskja |
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Description: Good algorithm designers understand several fundamental algorithm
design techniques, including data structures, dynamic programming,
depth-first search, backtracking, and heuristics. Perhaps the single most important
design technique is modeling, the art of abstracting a messy real-world
application into a clean problem suitable for algorithmic attack. Platform: |
Size: 4001792 |
Author:otot |
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Description: System reliability analysis and optimization are important to efficiently utilize available resources and to develop an optimal system design architecture. System reliability optimization has been solved by using optimization techniques including meta-heuristics. Meanwhile, the development of meta-heuristics has been an active research field of the reliability optimization wherein the redundancy, the component reliability,
or both are to be determined. In recent years, a broad class of stochastic meta-heuristics, such as simulated annealing, genetic algorithm, tabu search, ant colony, and particle swarm optimization paradigms,has been developed for reliability-redundancy optimization of systems. Platform: |
Size: 339968 |
Author:ali |
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Description: 经典TSP问题算法分析和介绍，包括相应算法介绍-Design, Implementation and
Comparison of Randomized
Search Heuristics for the
Traveling Thief Problem Platform: |
Size: 1183744 |
Author:周建栋 |
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Search - design heuristics