Global optimizationThis paper presents the enzyme action optimization (EAO) algorithm, a novel bio-inspired optimization algorithm designed to simulate the adaptive enzyme mechanism in biological systems. EAO e
ALO34is a widely used optimization algorithm, based on the behaviour of the ants and the antlions in nature. Recently, it has been applied to several domains including engineering applications, power systems, economic load dispatch, PID controller, and many more. For example, Heidari et al.35p...
For optimization purposes, an alternative to LSTMs, the gated recurrent unit (GRU), can be utilized due to its lower computational demands. The GRU merges the input gate and forget gate into a single update gate, and the mathematical representation is given by the following equations: $$\begi...
1657 + - [maypok86/otter](https://github.com/maypok86/otter) – Fastest golang in-memory cache library based on S3-FIFO algorithm. many times faster than Ristretto and friends 1658 + - [go-co-op/gocron](https://github.com/go-co-op/gocron) – Easy and fluent Go cron scheduling...
First, for a wide range of values, the algorithm looks for the best parameter values and as soon as it predicts a near optimal range of values, it reduces the size of the steps to obtain values that are more precise. This way, the algorithms ensures optimal accuracy in the investigated ...
Given that our proposed optimization is non-convex and NP-hard, we develop a fast greedy algorithm whose complexity is linear in the length of the videos and the number of states of the dynamic model, hence, scales to large datasets. Under appropriate conditions on the transition model, our ...
Object proposals have contributed significantly to recent advances in object understanding in images. Inspired by the success of this approach, we introduce Deep Action Proposals (DAPs), an effective and efficient algorithm for generating temporal action
First, in the data preprocessing stage, the dynamic time warping (DTW) algorithm is used to normalize and calculate 3D skeleton data to facilitate the derivation of customized adjacency matrices for improving the influence of intraindividual action differences. Secondly, a custom ordinary differential ...
c Search space of a traditional MCTS algorithm, e.g., game board, is discrete. In the context of parameter optimization, for two discrete parameters each of 19 possible values, the search space consists of a finite 361 search positions. d The problem of parameter search, such as the ...
There is no disputing that remarkable advances in computing power, data storage, and algorithm development have greatly accelerated the capabilities of modeling, analysis, and simulation to unprecedented levels. This transformation has opened new frontiers of scientific understanding and progress that were ...