Authors:
Pedro Miguel Moreira
1
;
Luis Paulo Reis
2
and
A. Augusto Sousa
3
Affiliations:
1
Polytechnic Institute of Viana do Castelo and Univ. of Porto, Portugal
;
2
Univ. of Porto and University of Minho, Portugal
;
3
Univ. of Porto, Portugal
Keyword(s):
Optimization, Multi-Agent Systems, Visualization.
Related
Ontology
Subjects/Areas/Topics:
Agent Models and Architectures
;
Agent Platforms and Interoperability
;
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Software Engineering
;
State Space Search
;
Symbolic Systems
Abstract:
Interactive visualization of virtual environments is an active research topic. There is a multiplicity of applications such as simulation systems, augmented and mixed reality environments, computer games, amongst others, which endlessly demand for greater levels of realism and interaction. At every stage of the process, including modeling, image synthesis, transmission and navigation, there are identifiable circumstances which may compromise the achievement of high quality solutions for the posed problems. For many of these problems, an effective use of optimization tools can play a major role in order to achieve solutions with better quality. Within this context, an innovative optimization architecture is presented regarding to two major principles. The first principle comprises the possibility to integrate, with reduced effort, the optimization tools with existent applications and systems. Thus, we propose an agent-based framework where the optimization application may operate as a
n independent process in respect to the visualization application where communication is achieved by means of a specifically developed high-level message based protocol. The second principle establishes on the utilization of a class of intelligent optimization methods, known as metaheuristics, which major distinguishing quality is their great level of problem-independence, thus, enabling a wider application. The paper describes conducted experiments and presents results that demonstrate the utility and efficacy of the proposed framework.
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