In the past few decades, design theory has grown to encompass a wide variety of research directions. It comes as no surprise that applications in coding theory and communications continue to arise, and also that designs have found applications in new areas. Computer science has provided a new source of applications of designs, and simultaneously a field of new and challenging problems in design...

We establish finite convergence for some tabu search algorithms based on recency memory or frequency memory, distinguishing between symmetric and asymmetric neighborhood structures. These are the first demonstrations of explicit bounds provided by such forms of memory, and their finiteness suggests an important distinction between these ideas and those underlying certain "probabilistic" procedu...

We present a novel input pattern generator for dynamic power network simulation. The obtained patterns successfully identify critical voltage drop areas for a set of industrial designs, which are difficult to be found using functional vectors. The search engine of the pattern generator for worst-case IR voltage drop is based on the multiobjective genetic algorithm. To achieve high coverage for ...

In Phase II oncology trials, targeted therapies are being constantly evaluated for their efficacy in specific populations of interest. Such trials require designs that allow for stratification based on the participants’ biomarker signature. One of the disadvantages of a targeted design (defined as enrichment in biomarker-positive sub-population) is that if the drug has at least some activity in...

The maximum diversity problem presents a challenge to solution methods based on heuristic optimization. We undertake the development of hybrid procedures within the scatter search framework with the goal of uncovering the most effective designs to tackle this difficult but important problem. Our research revealed the effectiveness of adding simple memory structures (based on recency and frequen...

The EENCL algorithm [1] automatically designs neural network ensembles for classification, combining global evolution with local search based on gradient descent. Two mechanisms encourage diversity: Negative Correlation Learning (NCL) and implicit fitness sharing. This paper analyses EENCL, finding that NCL is not an essential component of the algorithm, while implicit fitness sharing is. Furth...

Semantic Search Engine (SSE) has been developed to improve Kumbotso Teacher Educator Journal (KUTEJ) search engine, the software architecture implement an applications in the Semantic Web, based on designs and implementation specified in the Semantic Search Method (SSM). This architecture relies heavily on the ontology that structure underlying data for the purpose of comprehensive and transpor...

This paper presents a task-based user study carried out to investigate how explicit roles assigned to group members affected collaborative information seeking behaviour during a travel planning task. 24 pairs participated our study where half of them were given a specific instruction to divide the roles into a searcher and writer, while others were given no such instruction. The evaluation look...

Extant research on choice designs in marketing focuses on the construction of efficient homogeneous designs where all respondents get the same design. Sandor and Wedel (2005) were the first to propose the construction of efficient heterogeneous designs where different respondents or groups of respondents get different subdesigns, and demonstrate substantial efficiency gain when such heterogeneo...

Causal knowledge is frequently pursued by researchers in many fields, such as medicine, economics, and social science, yet very little research in knowledge discovery focuses on discovering causal knowledge. Those researchers rely on a set of methods, called experimental and quasiexperimental designs, that exploit the ontological structure of the world to limit the set of possible statistical m...