An intelligent bionic algorithm with great global optimization potential, the genetic algorithm evolved in a manner analogous to the natural process of genetic evolution in living creatures. This ...

As the Optimizer Toolbox will only minimize the fitness, the negative sum of the interface lengths during the pumping scheme in question was used as the fitness value. As shown in Figure 2, the ...

Feng Yan, Saihong Zhu, Optimization of Energy Consumption of Coastal Green Public Buildings Based on Genetic Algorithm, Journal of Coastal Research, SPECIAL ISSUE NO. 103.

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

Tan Liu, Qinyun Yuan, Lina Wang, Yonggang Wang, Nannan Zhang, Multi-objective optimization for oil-gas production process based on compensation model of comprehensive energy consumption using improved ...

Some scientists believe the theory’s natural selection mechanics and inheritance principles are applicable to many fields outside of the life sciences. One of those scientists, John Henry Holland, ...

GEPA: Genetic-Pareto Evolutionary Algorithm Implementation of the GEPA optimizer: GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning Before optimization, throw a random prompt to ...

Scientists say using math to sort through DNA could help investigators put stubborn cold cases to rest. The approach combines the relatively new field of forensic genetic genealogy—solving crime ...