Obesity Heuristic, New Way On Artificial Immune Systems
Mohammed El-Dosuky, Ahmed EL-Bassiouny, Taher Hamza, Magdy Rashad

TL;DR
The paper introduces the Obesity Heuristic, a novel metaheuristic inspired by obesity treatment, which effectively improves data cleaning performance with perfect recall, demonstrating its potential as a new approach in artificial immune systems.
Contribution
It proposes a new metaheuristic based on immunology metaphors, specifically obesity treatment, and demonstrates its superior performance in data cleaning tasks.
Findings
Achieved 100% recall in data cleaning
Outperforms existing algorithms in experiments
Introduces a novel immunology-inspired heuristic
Abstract
There is a need for new metaphors from immunology to flourish the application areas of Artificial Immune Systems. A metaheuristic called Obesity Heuristic derived from advances in obesity treatment is proposed. The main forces of the algorithm are the generation omega-6 and omega-3 fatty acids. The algorithm works with Just-In-Time philosophy; by starting only when desired. A case study of data cleaning is provided. With experiments conducted on standard tables, results show that Obesity Heuristic outperforms other algorithms, with 100% recall. This is a great improvement over other algorithms
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Taxonomy
TopicsDiabetes and associated disorders · Immune Cell Function and Interaction · Artificial Immune Systems Applications
