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This paper introduces a proactive version of Hill Climbing (or Local Search). It is based on the identification of the best neighborhood through the repeated application of mutations and the evaluation of theses neighborhood by using FDC (Fitness Distance Correlation). The best neighborhood is used during a time window, and then the analysis is repeated. An experimental study was conducted in 28 functions on binary strings. The proposed algorithm achieves good performance compared to other metaheuristics (Evolutionary Algorithms, Great Deluge Algorithm, Threshold Accepting, and RRT). [ABSTRACT FROM AUTHOR]

This paper discusses how can capture the needs of a proactive Technological Observatory following the approach of social modeling. Besides is shown the inclusion of a proactive behaviors to the Technological Observatory using the philosophy of agents in order to maintain updated users just by knowing their interests. A pilot test with 30 users was developed. The survey was used to measure results. The applied social modeling helped to understand the relationships between the actors who originally take part of the environment to analyze and which is intended to implement the information system. The developed Technology Observatory is a tool for collaboration, support academic work and research to support an organization I + D + i . The inclusion of proactive features in a Technological Centre improves its performance. [ABSTRACT FROM AUTHOR]

The process of finding and processing information is very important for many professionals. Therefore, information retrieving and sharing are key issues. At present, the quantity of information is growing and it is difficult to find it, due to its heterogeneity, its constant change and the diversity of data sources. Technological observatories solve this problem in some way, although they do not always take into account the necessity to make the monitoring process proactively. This paper shows how the inclusion of proactive behaviors into a technological observatory using the agent's philosophy and the implementation patterns can improve its performance and keep users updated if their interests are known. The test pilot results are described, where the users received mails according to their interests. [ABSTRACT FROM AUTHOR]