The Ontology of Knowledge Based Optimization
Mahyuddin K. M. Nasution

TL;DR
This paper proposes using ontology to unify and enhance understanding of various optimization problems, aiming to develop a knowledge-based approach to improve optimization strategies.
Contribution
It introduces an ontology framework for optimization problems, linking diverse themes and concepts to facilitate knowledge-based optimization strategies.
Findings
Developed an ontology model for optimization concepts
Linked different optimization themes through ontological relationships
Enhanced optimization strategies using knowledge-based approaches
Abstract
Optimization has been becoming a central of studies in mathematic and has many areas with different applications. However, many themes of optimization came from different area have not ties closing to origin concepts. This paper is to address some variants of optimization problems using ontology in order to building basic of knowledge about optimization, and then using it to enhance strategy to achieve knowledge based optimization.
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Taxonomy
TopicsMetaheuristic Optimization Algorithms Research · Evolutionary Algorithms and Applications · Constraint Satisfaction and Optimization
