Current real number and integer sorting techniques for the reconfigurable mesh operate in constant time using a reconfigurable mesh of size n u00d7 n to sort n numbers. This paper presents a constant time algorithm to sort n items on a reconfigurable network with $O (sqrt{n}times sqrt{n}...
Toptal developers use a variety of techniques and strategies to tackle complex problems efficiently. They have a deep understanding of algorithmic complexity, data structures, and mathematical optimization, allowing them to choose the best algorithms for each task, such as sorting, searching, or graph...
All techniques were executed using MATLAB R2020a on an Intel Core i7 computer equipped with a 1.80 GHz processor and 8 GB RAM. Description of benchmark test functions Our experimental evaluation of the MOEDO algorithm's performance utilized three separate benchmark test set functions: Zitzler–...
There are two main types ofcompression: lossless and lossy. Lossless compression guarantees that the data can be recovered exactly as it was before compression, while lossy compression may result in some loss of information.Let’s dive deeper into the lossless compression techniques. 2.1. What Is ...
Contrary to the partition-based clustering techniques, density-based clustering algorithms have been applied successfully in literature to discover both the convex and the non-convex shaped clusters but the performance of these algorithms heavily degrades when the underlying clusters have different densities...
The whale optimization algorithm has received much attention since its introduction due to its outstanding performance. However, like other algorithms, the whale optimization algorithm still suffers from some classical problems. To address the issues of
5.2.2 Data reduction for nodes Some techniques try compressing provenance logs via web graph compression algorithm (Chapman et al., 2008) or detecting common sub-graphs and compressing them (Xie et al., 2012). The main problem of these techniques is that they involve expensive runtime overhead...
Premkumar M et al (2021) MOSMA: multi-objective slime mould algorithm based on elitist non-dominated sorting. IEEE Access 9:3229–3248 Article Google Scholar Wei Y et al (2022) SSMA: simplified slime mould algorithm for optimization wireless sensor network coverage problem. Syst Sci Control En...
During the 1990s programming techniques for it had not developed sufficiently to justify the expensive use of supercomputers, which limited applications to rather simplistic problems. However, as cheaper personal computers became more powerful, genetic programming began having notable commercial success in ...
This approach does not require assigning weights for each objective function. It adopts dominance relationship to evaluate solutions, such as the non-dominated sorting genetic algorithmⅡ (NSGA-Ⅱ) (Deb et al., 2002). The individuals are ranked according to designed dominance regulations, e.g. ...