Abstract
This paper (Revised version of a white paper “Unsupervised Problem-Solving by Optimising through Comparisons,” originally published on DCS and Scribd, October 2011.) describes the implementation and functionality of a centralised problem solving system that is included as part of the distributed “licas” system. This is an open source framework for building service-based networks, similar to what you would do on a Cloud or SOA platform. While the framework can include autonomous and distributed behaviour, the problem-solving part can perform more complex centralised optimisation operations and then feed the results back into the network. The problem-solving system is based on a novel type of evaluation mechanism that prefers comparisons between solution results, over maximisation. This paper describes the advantages of that and gives some examples of where it might perform better, including possibilities related to a more cognitive system.
Highlights
This paper describes the implementation and functionality of a centralised problem-solving system that is included as part of the distributed “licas” service-based framework [1]
The licas (lightweight communication for autonomic services) system is an open source framework for building service-based networks, similar to what you would do on a Cloud or SOA platform
There are a number of existing equations that can be used to categorise data. Most of these belong to clustering algorithms that would try to measure how similar two individual data objects are, some individual objects can be represented by cluster means. This is not what the matching process described in this paper is trying to do and so it already shows a possible difference in the use of the new hyperheuristic algorithm
Summary
This paper (Revised version of a white paper “Unsupervised Problem-Solving by Optimising through Comparisons,” originally published on DCS and Scribd, October 2011.) describes the implementation and functionality of a centralised problem solving system that is included as part of the distributed “licas” system. This is an open source framework for building service-based networks, similar to what you would do on a Cloud or SOA platform. While the framework can include autonomous and distributed behaviour, the problem-solving part can perform more complex centralised optimisation operations and feed the results back into the network. This paper describes the advantages of that and gives some examples of where it might perform better, including possibilities related to a more cognitive system
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