Theodore W. Manikas

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This paper presents results of our work in development of a genetic algorithm based path-planning algorithm for local obstacle avoidance (local feasible path) of a mobile robot in a given search space. The method tries to find not only a valid path but also an optimal one. The objectives are to minimize the length of the path and the number of turns. The(More)
—System security continues to be of increasing importance. To effectively address both natural and intentional threats to large systems, the threats must be cataloged and analyzed. Extremely large and complex systems can have an accordingly large number of threat scenarios. Simply listing the threats and devising countermeasures for each is ineffective and(More)
This study presents an evolutionary computation system that can generate grid robot path planning problems. An evolvable cellular representation that specifies how to build a PPP is used. Also presented is a technique for taxonomizing path planning problems so that the vast number of problems that can be generated with the evolutionary computation system(More)
E ngineers and scientists use instrumentation and measurement equipment to obtain information for specific environments, such as temperature and pressure. This task can be performed manually using portable gauges. However, there are many instances in which this approach may be impractical; when gathering data from remote sites or from potentially hostile(More)
—Design for medical system reliability has become an area of increasing importance. Medical system threats, which include system failures as well as malicious attacks, often have interdependent events that can adversely affect system operation. To address these problems, we build upon our previous threat cataloging methodology such that a large number of(More)
An important stage in circuit design is placement, where components are assigned to physical locations on a chip. A popular contemporary method for placement i s the use of simulated a n n e aling. While this approach has been shown to produce good placement solutions, recent w ork in genetic algorithms has produced promising results. The purpose of this(More)
during the summers of 2007 and 2008. The Academy participants included students having just completed 7th to 11th grade and teachers from middle school through high school. The students and teachers participated in team-building, professional development , and technical activities designed to teach them about the engineering profession and the field of(More)
SUMMARY In the optimization of decision diagrams, variable reordering approaches are often used to minimize the number of nodes. However, such approaches are less effective for analysis of multi-state systems given by monotone structure functions. Thus, in this paper, we propose algorithms to minimize the number of edges in an edge-valued multi-valued(More)