Gender stereotypes produced and proliferated through social interactions, media, books, arts and movies, have nowadays intruded into the design of Artificial Intelligence (AI) systems, products, and services. AI algorithms and models used, are revealed to lead to misrepresentation of women and to bia...
In this study, we address the challenge of efficiently processing cloud robot tasks within cloud-edge collaborative systems by designing a collaborative offloading system. Our focus lies in jointly optimizing system completion time and energy consumption through well-calibrated trade-offs between the two ...
Then eight binary algorithms are derived from S-type and V-type transfer functions. The simulation experiment was divided into four parts. Firstly, the CEC-2022 test functions were used to test the performance of the multi-strategy fusion SHO, from which the best variant TanASSHO was selected...
Voting Strategy In subject area: Computer Science A voting strategy in computer science refers to a widely used method that obtains a final result by combining multiple base clustering partitions through majority rule. It ensures stability and represents the consensus among the base partitions, ...
The other element used in this guide is abusiness modelessence. Shortly, I’ve been looking for a way to summarize the key elements of any business in a couple of lines of text: ABusiness ModelEssence according to FourWeekMBA is a way to find the critical characteristics of any business ...
There are other PSO-NM algorithms, but the one we are proposing, has a different strategy. The proposed algorithm was also tested with the repositioning strategy in other particles beyond the current global best particle, depending on the repositioning probability. To evaluate the effectiveness of ...
In the past decade, a large number of novel metaheuristic algorithms (MAs) have been introduced due to their high efficiency in handling complex optimization problems [1,2]. Since the birth of MAs, at least about 350 algorithms inspired by hundreds of animals, plants, microorganisms, natural ph...
The optimization problem of power systems is often with large-scale discrete and continuous variables. Intelligent search algorithms are commonly used to solve such power system optimization problems, such as genetic algorithm, particle swarm optimization, Tabu search algorithm, etc. [22,23]. Among al...
In this tutorial, we will learn about the introduction of greedy strategy, algorithm for greedy strategy, some applications and the elements of greedy strategy in Analysis and Design of Algorithms.
Feature selection is a crucial preprocessing technique that enhances the efficiency and accuracy of machine learning models by removing irrelevant and redundant features, thus reducing computational complexity and storage costs. However, existing binary swarm intelligence algorithms often encounter challenges suc...