ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...

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, ...

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 ...

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 ...

Abstract: This paper present a new modification to firefly algorithm i.e crazy firefly algorithm by introducing a craziness operator to the existing algorithm to increase the diversity. The firefly ...

Abstract: The paper proposes an improved Neural Networks construction with Cubic Spline Weight Function and its algorithm for the characteristic of the poor extending ability of the Neural Networks ...