Imagine walking into your doctor’s office feeling sick – and rather than flipping through pages of your medical history or running tests that take days, your doctor instantly pulls together data from ...

Secondly, a genetic algorithm with a novel niche technique, GA-ComFit, is developed to solve the proposed mOM problem. In GA-ComFit, potential seed sets are encoded as individuals.

New platform combines genetic algorithms with freeform geometry to design resilient, high-performance MEMS accelerometers tolerant to fabrication flaws.

5.2.4. Genetic Algorithms (GA): [9] A GA is an evolutionary algorithm. It imitates the process of natural selection. A GA is also an optimal search algorithm. The GA solves optimization problems using ...

In the financial market, genetic algorithms can be used to optimize trading strategy parameters to maximize cumulative returns. This paper presents a methodology for using genetic algorithms to ...

Lastly, the GA-RF model improves the robustness by optimizing random forest parameters through genetic algorithms, enabling better coping with data uncertainties. The genetic algorithm can ...

This article presents a novel knowledge-based genetic algorithm (GA) to generate a collision-free path in complex environments. The proposed algorithm infuses specific domain knowledge into robot path ...

This limitation has implications for the reliability of using crop models as agricultural decision-making support tools. To support decision making in agriculture, an approach combining a genetic ...