callback: A callback function passed information in each iteration step. The information is, in this order: the parameters, the function value, the number of function evaluations, the stepsize, ...

Abstract: This paper describes the Jaya Algorithm and compares its performance with the Genetic Algorithm for optimizing the Himmelblau function and the Rosenbrock function. The Jaya algorithm is ...

In the context of using DNSGA2 to solve dynamic multi-objective optimization problems (DMOPs), a critical issue arises regarding the timing of the callback function execution and its impact on ...

Abstract: In order to improve the convergence speed of the existing LMS algorithms, a new LMS algorithm with variable step size based on the Swish function is proposed, and the effects of the ...

What are sports betting algorithms? Sports betting algorithms are data-driven systems that analyze vast amounts of sports data, including player statistics, team performance, weather conditions, and ...

As a very effective machine learning ML-born optimization setting, boosting requires one to efficiently learn arbitrarily good models using a weak learner oracle, which provides classifiers that ...

1 Chongqing Key Laboratory of Spatial Data Mining and Big Data Integration for Ecology and Environment, Rongzhi College of Chongqing Technology and Business University, Chongqing, China 2 Academic ...

ABSTRACT: Recurrent Neural Networks were invented a long time ago, and dozens of different architectures have been published. In this paper we generalize recurrent architectures to a state space model ...