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Abstract: This paper explores the design and testing of a multi objective optimization system with carbon pricing as a key element that can be used to informing complex and constraint-based policy ...
Abstract: This paper presents a novel approach to designing reconfigurable antenna using genetic algorithms (GAs) and accurate PIN diode modeling. The method integrates TRL calibration for precise ...
The urgent need for scalable artificial intelligence solutions in wildlife conservation has intensified as biodiversity loss accelerates globally, with current extinction rates estimated at 100-1,000 ...
In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...
Detecting protein complexes is crucial in computational biology for understanding cellular mechanisms and facilitating drug discovery. Evolutionary algorithms (EAs) have proven effective in uncovering ...
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