Results 71 to 80 of about 5,786,914 (366)
Prospects for computational steering of evolutionary computation [PDF]
Currently, evolutionary computation (EC) typically takes place in batch mode: algorithms are run autonomously, with the user providing little or no intervention or guidance. Although it is rarely possible to specify in advance, on the basis of EC theory,
Bullock, Seth+2 more
core +2 more sources
Load Frequency Control Based on Gray Wolf Optimizer Algorithm for Modern Power Systems
The increasing complexity of modern power systems (MPSs), driven by the integration of renewable energy sources and multi-area configurations, demands robust and adaptive load frequency control (LFC) strategies.
Dao Huy Tuan+3 more
doaj +1 more source
A fractional-order form of a system with stable equilibria and its synchronization
There has been an increasing interest in studying fractional-order chaotic systems and their synchronization. In this paper, the fractional-order form of a system with stable equilibrium is introduced.
Xiong Wang+3 more
doaj +1 more source
Emergence of Novelty in Evolutionary Algorithms
One of the main problems of evolutionary algorithms is the convergence of the population to local minima. In this paper, we explore techniques that can avoid this problem by encouraging a diverse behavior of the agents through a shared reward system.
Herel, David+3 more
openaire +2 more sources
Exploring the role of cyclin D1 in the pathogenesis of multiple myeloma beyond cell cycle regulation
Cyclin D1 overexpression altered the cell adhesion pathway, while cyclin D2 upregulation had less impact on pathway enrichment analysis. Multiple myeloma (MM) patients with cyclin D1 overexpression showed reduced CD56 expression and increased circulating tumor cells (CTC) levels, suggesting that cyclin D1 may contribute to MM cell dissemination ...
Ignacio J. Cardona‐Benavides+13 more
wiley +1 more source
The topic related to the coexistence of different synchronization types between fractional-order chaotic systems is almost unexplored in the literature.
Adel Ouannas+4 more
doaj +1 more source
Decrypting cancer's spatial code: from single cells to tissue niches
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik+4 more
wiley +1 more source
Linear Evolutionary Algorithm [PDF]
During the past three decades, global optimization problems (including single-objective optimization problems (SOP) and multi-objective optimization problems (MOP)) have been intensively studied not only in Computer Science, but also in Engineering.
Kezong Tang+3 more
openaire +3 more sources
Evolutionary Algorithms for Quantum Computers [PDF]
Algorithmica, 68 (1)
Johannsen, Daniel+2 more
openaire +4 more sources
Under environmental changes, the expression level of neuropeptide (NP) and neuropeptide receptor (NPR) genes changes to confer context‐dependent adaptation to the model organism Drosophila melanogaster. Through finding more regulatory elements in the NPR genes in comparison with their ligands (NPs), we found that NPR‐biased transcriptional regulation ...
SeungHeui Ryu+6 more
wiley +1 more source