Effectively improving the optimization performance of artificial electric field algorithm (AEFA) and broadening its application domain can aid in providing robot path planning three-dimensional (3D) complex scenes. This paper effectively proposes an improved AEFA (I-AEFA) creatively applies it to planning. The introduces three mechanisms enhance exploration ability convergence accuracy population: parameter adaptation, reverse learning, Cauchy mutation. Next, benchmark terrain model...

The use of artificial intelligence (AI) has increased since the middle 20th century, as evidenced by its applications to a wide range engineering and science problems. Air traffic management (ATM) is becoming increasingly automated autonomous, making it lucrative for AI applications. This paper presents systematic review studies that employ techniques improving ATM capability. A brief account history, structure, advantages these methods provided, followed description their several...

The Harris Hawks Optimization algorithm (HHO) is a sophisticated metaheuristic technique that draws inspiration from the hunting process of hawks, which has gained attention in recent years. However, despite its promising features, exhibits certain limitations, including tendency to converge local optima and relatively slow convergence speed. In this paper, we propose multi-strategy improved HHO (MSI-HHO) as an enhancement standard algorithm, adopts three strategies improve performance,...

Influence maximization (IM) has shown wide applicability in various fields over the past few decades, e.g., viral marketing, rumor control, and prevention of infectious diseases. Nevertheless, existing research on IM primarily focuses ordinary networks with pairwise connections between nodes, which fall short representation higher-order relations. hypergraphs (HIM) received limited attention. A novel evaluation function, aims to evaluate spreading influence selected nodes hypergraphs, i.e.,...

Abstract The differential evolution (DE) algorithm is an efficient random search based on swarm intelligence for solving optimization problems. It has the advantages of easy implementation, fast convergence, strong ability and good robustness. However, performance DE very sensitive to design different operators setting control parameters. To solve these key problems, this paper proposes improved self-adaptive with a shuffled frog-leaping strategy (SFSADE). innovatively incorporates idea into...

Compared with a single robot, multirobot system exhibits better performance when dealing different complex tasks. Recently, the application of systems to hunt targets has become research hotspot, but it also faces many challenges such as excessive communication, poor collaboration performance, and limited practical testing. Based on previous gene regulatory networks (GRNs), this study innovatively proposes an adaptive cooperative GRN (AC-GRN) optimized by elastic deformation algorithm for...

Natural events have had a significant impact on overall flight activity, and the aviation industry plays vital role in helping society cope with of these events. As one most impactful weather typhoon seasons appears continues, airlines operating threatened areas passengers having travel plans during this time period will pay close attention to development tropical storms. This paper proposes deep multimodal fusion multitasking trajectory prediction model that can improve reliability reduce...

No optimization algorithm can obtain satisfactory results in all tasks. Thus, it is an effective way to deal with the problem by ensemble of multiple algorithms. This paper proposes population-based metaheuristics (EPM) solve single-objective problems. The design EPM framework includes three stages: initial stage, update and final stage. applies transformation real virtual population balance exploration exploitation at level uses elite strategy communicate among populations. experiment...

In recent years, there has been significant progress in Unmanned Aerial Vehicle (UAV) technology. UAVs have undergone advancements, becoming increasingly mature with improved maneuverability, ease of operation, and cost-effectiveness. As a result, emerged as vital tool various domains, including intelligence reconnaissance target search. contrast to single UAV systems, the utilization formations or clusters gained prominence an innovative organizational approach, offering advantages such...

In recent years, Unmanned Aerial Vehicle (UAV) technology has become more and mature, the demand for UAV s in all walks of life is also increasing. formations or swarms have an emerging organizational form. As one cores multi-UAV cooperative missions, mission planning attracted researchers' attention. The dynamic assignment method based on clustering algorithm proposed this paper can realize reasonable reconnaissance mission. First all, establishes a problem model Then trajectory prediction...

To construct the quantitative prediction model of compounds on <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$ER_{\alpha}$</tex> bioactivity, firstly, three mathematical re-gression analysis methods including stepwise regression, multiple linear and quadratic nonlinear regression are exploited; Secondly, we analyze average error between predicted true values models four training datasets; Finally, least mean model-stepwise regression-is used...

This paper establishes a quantitative structural optimization model for compounds binding to estrogen receptor α based on the artificial electric field algorithm. The can effectively screen high-dimensional molecular descriptors of unknown and realize prediction biological activity classification pharmacokinetic properties. In this paper, 1974 candidate used in treatment breast cancer were investigated. results show that accuracy is very high, it also plays an important role virtual...

As an air carrier with strong mobility, unmanned aerial vehicle (UAV) can carry various types of equipment and complete a variety tasks. Aiming at the cooperative defense mission, this paper proposes multi-UAV collaborative method support mechanism for reasonable planning, designs simulation experiment verification. The proposed mainly uses hierarchical clustering task assignment greedy algorithm path planning to realize preliminary mission planning. Then, it sets up one-to-one utilize idle...