The optimisation of process planning has emerged as a pivotal aspect of modern manufacturing, where genetic algorithms (GAs) and hybrid techniques are leveraged to address the combinatorial ...

Therefore, to determine an optimum shift strategy and achieve a balance among different parameters, Genetic Algorithm (GA) multi-objective optimization method is implemented. Through GA optimization, ...

According to the latest information from the National Intellectual Property Administration, Beijing Jingwei Hengrun Technology Co., Ltd. applied for a patent titled "Method and Device for Generating ...

Lysa Porth, Jeffrey Pai, Milton Boyd, A Portfolio Optimization Approach Using Combinatorics With a Genetic Algorithm for Developing a Reinsurance Model, The Journal of Risk and Insurance, Vol. 82, No.

Immigration is generally considered an option in genetic algorithms, but I have found immigration to be extremely useful in almost all situations where I use evolutionary optimization. The idea of ...

Our inclusion of skewness and kurtosis makes portfolio optimization a nonlinear, nonconvex and multi-objective problem; this has been solved with the use of a genetic algorithm. Empirical results ...

Mathematical perfection in optimization is only as justified as the OF calculation is complete and true. The user needs to choose the optimizer, and the application characteristics should drive the ...

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 ...

Genetic algorithms borrow their name and principles from biological evolution, but can they help researchers discover the fundamentals of life? Evolution is one of the most widely known theories in ...