The Human Evolutionary Algorithm (HEO) is an innovative optimization approach inspired by how humans gather information. It proved its simplicity, flexibility, and the limited number of parameters. Nevertheless,
The proposed algorithm is used to solve knapsack problems; its work process is explained in the experiments. As knowledge subsystem provides the optimal solving method, such that the solution quality of BEA for the knapsack problem is much better than that of many other optimization algorithms that...
Hybrid evolutionary algorithm NSGA-II (Deb et al., 2002) excels in global search for discrete problems, but has a drawback — its stochastic and exploratory optimization process may produce suboptimal solutions (Yin et al., 2023). To address this, we introduce a decoding strategy tailored for...
evolutionary optimization algorithms84.40.Ba07.05.TpIn this paper the problem of optimization design of a microwave wearable antenna is investigated. Reference is made to a specific antenna design that is a wideband Vee antenna the geometry of which is characterized by 6 parameters. These parameters ...
1c). Then, we used the Uniform Manifold Approximation and Projection (UMAP) algorithm for the nonlinear dimensionality reduction analysis and identified eight cell types based on specific cell markers (Fig. 1b, Extended Data Fig. 1d–f and Supplementary Table 2). They were granulosa cells (GCs...
Together, these data suggest that chromothripsis is an essential event in the progressive evolutionary process of seismic amplification. Fig. 4: Association of seismic amplification and chromothripsis in human cancer. a, Fractions of cases bearing chromothripsis24, chromothripsis and seismic amplification (...
Multi-ant colony algorithm based on the Stackelberg game and incremental learning Article 25 February 2025 Negative Learning Ant Colony Optimization for MaxSAT Article Open access 29 August 2022 Explore related subjects Discover the latest articles and news from researchers in related subjects, sug...
ahuman-levelreward design algorithm powered by LLMs. Eureka exploits the remarkable zero-shot generation, code-writing, and in-context improvement capabilities of state-of-the-art LLMs, such as GPT-4, to perform in-context evolutionary optimization over reward code. The resulting rewards can then...
Zhang E, Wang G, Gao K, Zhao X, Zhang Y (2013) Generalized structural holes finding algorithm by bisection in social communities. In: Sixth international conference on genetic and evolutionary computing. pp 276–279 Liu Q, Zhang L (2016) Information cascades in online reading: an empirical ...
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.35...