keywords = "genetic algorithms, genetic programming", URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/AkbarzGAs have shown a great deal of success where the representation space is a string of binary o
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 ...
Genetic Algorithms (GAs) are search algorithms based on the mechanisms of natural selection. They lie on one of the most important principles of Darwin: survival of the fittest. John Holland, in the 1970s, thought that he could incorporate in a computer algorithm such a technique, to solve ...
Compressive sensing is favored because it breaks through the constraints of Nyquist sampling law in signal reconstruction. However, the security defects of joint compression encryption and the problem of low quality of reconstructed image restoration nee
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 increasing complexity and high-dimensional nature of real-world optimization problems necessitate the development of advanced optimization algorithms. Traditional Particle Swarm Optimization (PSO) often faces challenges such as local optima entrapmen
Besides, SSA has been successfully used in engineering problems (Yuan et al., 2021). However, SSA also has some defects. On the one hand, the search efficiency and convergence speed of SSA still need to be improved (Fang et al., 2022), and there is also a tendency to fall into ...
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 ...
Discover the latest articles and news from researchers in related subjects, suggested using machine learning. Algorithms Computational Intelligence Continuous Optimization Discrete Optimization Learning algorithms Optimization Data availability All data used to support the findings of the study is includ...