Kaveh A, Biabani Hamedani K, Kamalinejad M (2022) Improved slime mould algorithm with elitist strategy and its application to structural optimization with natural frequency constraints. Comput Struct 264:106760 Article Google Scholar Naik MK et al (2022) A novel threshold score based multiclass s...
In the realm of the GOA, this strategic dance finds embodiment, its intricate steps delineated, and its conceptual underpinnings crystallized through rigorous mathematical modeling. 3.2. Initialization of GOA GOA is a population-based approach that can provide appropriate solutions to optimization problems...
When you calculate your programs’ time complexity and invoke a function, you need to be aware of its runtime. If you created the function, that might be a simple inspection of the implementation. If you are using a library function, you might need to check out the language/library documen...
Traditional optimization algorithms struggle due to the problem's high complexity, susceptibility to local optima, and numerous continuous and discrete decision parameters. The study's simulation results underscore the efficacy of SAWGA in achieving optimal solutions for OPF, notably reducing overall fuel...
In this regard, the method of AI noise reduction can introduce a large amount of non-stationary noise to allow the model to learn its features, so as to achieve good results. voice distortion Traditional noise reduction methods are difficult to accurately estimate the amount of noise, and once...
Techniques for multi-objective optimization can be divided into three primary categories16,17: a priori, a posteriori and interactive approaches. A priori techniques: these strategies rely on preliminary knowledge about the problem and its objectives. They aim to pinpoint the Pareto optimal solutions ...
The authors of [133] adopted the sub-optimal greedy algorithm to reduce computational complexity. 3. Evolutionary Algorithm Evolutionary algorithm is the type of algorithm inspired by nature, such as mutation and natural selection, and emulates the behaviours of nature to solve the problem. Any ...
Remarkably, the stability of a composite memory will be lower than the stabilities of each of its constituent memories. Also, the stability of the composite memory will be closer to the stability of the more challenging sub-memory. As the complexity increases, memory stabil...
The complexity of the algorithm is logarithmic for random-access iterators and linear otherwise, with the number of steps proportional to (last - first).Example// alg_equal_range.cpp // compile with: /EHsc #include <vector> #include <algorithm> #include <functional> // greater<int>() #...
which keeps the voting system and considers the influence of malicious behaviours in votes to improve security when malicious nodes are in a blockchain system. A quantum signature method using a quantum asymmetric cryptography approach is a signature method designed based on the complexity of theQSC...