This study deals with the autonomous evasive maneuver strategy of unmanned combat air vehicle (UCAV), which is threatened by a high-performance beyond-visual-range (BVR) air-to-air missile (AAM). Considering tactical demands achieving self-conflicting objectives in actual combat, including higher miss distance, less energy consumption and longer guidance support time, problem BVR defined reformulated into multi-objective optimization problem. Effective maneuvers UCAV used different evasion...

Dempster-Shafer evidence theory (DST) has shown its great advantages to tackle uncertainty in a wide variety of applications. However, how quantify the information-based basic probability assignment (BPA) with belief entropy DST framework is still an open issue. The main work this study define new for measuring BPA. proposed two components. first component based on summation mass function (PMF) single events contained each BPA, which are obtained using plausibility transformation. second...

The weapon‐target assignment (WTA) problem is a key issue in Command & Control ( C 2 ). Asset‐based multiobjective static WTA (MOSWTA) known as one of the notable issues WTA. Since this an NP‐complete problem, evolutionary algorithms (MOEAs) can be used to solve it effectively. algorithm based on decomposition (MOEA/D) practical and promising optimization technique. However, MOEA/D originally designed for continuous which loses its efficiency discrete contexts. In study, improved...

A cooperative maneuver decision method for multiple unmanned aerial vehicles is proposed to address the close-range air combat problem in this article. As perfect information of adversary impossible obtain, a state predicted influence diagram model established solve combat. The elements are analyzed comprehensively based on model. framework control system multi vehicle put forward, and an unscented Kalman filter used belief updating with prediction, which could provide impactful state. In...

The sensor-weapon–target assignment (S-WTA) problem is a crucial decision issue in C4ISR. cooperative engagement capability (CEC) of sensors and weapons depends on the S-WTA schemes, which can greatly affect operational effectiveness. In this paper, mathematical model based synthetical framework established, combining dependent independent modes weapons. As complex combinatorial optimization problem, novel genetic algorithm proposed to improve solution formulated model. Based prior knowledge...

The weapon-target assignment (WTA) problem is a crucial decision issue in the process of cooperative aerial warfare (CAW). strategy fighter teams involved CAW susceptible to influence enemy fire attack and electronic interference, which will lead both antagonism uncertainty making. In this paper, novel antagonistic game WTA (AGWTA) model with introduced. described by non-cooperative zero-sum conducted two teams. Then, modified sensor data fusion method using belief entropy similarity...

The weapon target assignment (WTA) problem is the crucial decision support in Command & Control (C2). In classic WTA model, point-to-point saturation salvo has a low efficiency-cost ratio when swarming targets, which have advantage of casualty, cost and recyclable, become major operational units. constraint less studied for intention decision-maker. this paper, constrained multi-objective (CMWTA) model formulated area targets. optimization objectives are minimizing collateral damage resource...

Task assignment is a critical technology for heterogeneous unmanned aerial vehicle (UAV) applications. Target precedence has typically been ignored in previous studies, such that it possible to obtain task solution with an unreasonable target execution order. For this reason, cooperative multiple problem constraints (CMTAPTPC) model proposed paper, which considers not only kinematic, resource, and of the UAV, but also achieve more realistic scenarios. In addition, graph method improved...

Dempster–Shafer theory has been widely used in many applications, especially the measurement of information uncertainty. However, under D-S theory, how to use belief entropy measure uncertainty is still an open issue. In this paper, we list some significant properties. The main contribution paper propose a new entropy, for which properties are discussed. Our model two components. first Nguyen entropy. second component product cardinality frame discernment (FOD) and Dubois addition, certain...

This paper presents a UAV route evaluation algorithm based on CSA-AHP and TOPSIS to solve the problem of evaluation. First, model is proposed. The improved CSA adopted in this check consistency, order ensure decision maker consistent ranking attributes. Second, new AHP difference between designed, two attributes are proposed describe route. Finally, established. Experiments indicate that feasible effective.

Aiming at disasters such as fire, earthquake etc. city disaster complex environment, a robot search path algorithm based on ant colony is put forward in this paper. Suppose environmental was known, we use grid method to divide and model the whole environment space some improvement dead circulation, optimizing parameters, stimulating factors for basic algorithm, which improved algorithm’s robustness effectively. Finally, obtain through numeric experiments simulation rescue scenario make...

This paper presents a two-stage evolutionary multiobjective particle swarm optimization (TSMOPSO) algorithm to solve the weapon-target assignment (WTA) problem. In order improve convergence and rate of proposed algorithm, strategy is employed. first stage evolution, population evolved by status updating rules defined in (PSO). second novel evolution operator designed update Pareto front solutions which obtained evolution. Experiments indicate that TSMOPSO an effective method problem, this...

Dempster-Shafer evidence theory has been widely used in various applications. However, to solve the problem of counter-intuitive outcomes by using classical combination rule is still an open issue while fusing conflicting evidences. Many approaches based on discounted and weighted average have investigated made significant improvements. Nevertheless, all these inherent flaws. In this paper, a new weighting factor proposed address problem. First, modified dissimilarity measurement which...

In order to improve the deficiency of range information unmeasurable in passive location and high computational complexity distributed fusion estimation, an improved parameterized square root cubature filter (RP-SRCIF) algorithm is proposed. The proposed adopts fully estimation structure, integrates Kalman (SRCKF) algorithm, method (IF) algorithm. SRCKF can ensure better numerical stability higher accuracy; provide good robustness for initial real-time performance than traditional method; IF...

This paper presents a multiple routes planning algorithm based on particle swarm (PSO) and hierarchical clustering to overcome the problem of sensitivity k-means initial center. Firstly, numerous feasible are initialed by PSO. Secondly, model is designed used divide into several categories. Finally, PSO find optimal route each category, then smooth get final route. Simulation results demonstrate effectiveness cluster feasibility algorithm.

Multi-Target assignment is an important tactical factor of BVR (Beyond Visual Range) air combat. Based on the analysis basic Shuffled Frog Leaping Algorithm (SFLA), Improved Discrete proposed to solve problem multi-target in The threat evaluation function and model combat are established. new SFLA adopts adaptive Strategy Evolution Capability Control update subpopulations, which can avoid trapping into local extremum. In order improve population diversity speed up convergence, Difference...

The aim of this study was to investigate the potential application computer-aided analysis in quantitative assessment changes skeletal muscle injury rabbit contusion model. Forty healthy rabbits were randomly divided into control (n = 5) and 35) groups. Rabbits group used construct a model induced by hammer hitting right gastrocnemius, while muscles non-injured. Two-dimensional ultrasound (2D US) contrast-enhanced ultrasonography (CEUS) performed on that had received at 1 h, 1, 3, 7, 14, 21...

Background The transition to parenthood, which is influenced a lot by local parenting culture, dramatic stress for both men and women. Chinese social cultural contexts form specific parental shaping the unique experience of parenthood. However, understanding parenthood in mainland China limited. Additionally, few qualitative studies explored from dyadic perspectives. Aim To explore first-time among mothers fathers during pregnancy, compare similarities differences between their experiences...

Evaluation of large language model (LLM) outputs requires users to make critical judgments about the best across various configurations. This process is costly and takes time given amounts data. LLMs are increasingly used as evaluators filter training data, evaluate performance or assist human with detailed assessments. To support this process, effective front-end tools for evaluation. Two common approaches using direct assessment pairwise comparison. In our study machine learning...

This paper presents an adaptive PID control for unmanned aerial vehicle (UAV) system with uncertain nonlinear dynamics. Backstepping time-delay estimation and damping (BCTND) is introduced into traditional of UAV system. The flight characteristics used in this analyzed a six degree freedom equation motion. Simulation results trajectory attitude are demonstrated order to show that the proposed algorithm robust adaptive, it suitable guidance problem

An improved three dimensional adaptive robust guidance law is proposed for the passive homing in which only line-of-sight angular rate can be measured when target maneuvered. The nonlinear control system of missile designed according to relative motion model and target, regards coupling acceleration as interference. Then a sliding surface based on approximate parallel approaching principle variable structure theory. self-learning ability RBF neural network used uncertain time-varying...

Aiming at the problem that it is difficult to obtain a big SAR target set with different angles, sample-free detection method proposed in this paper. This new adopts PSIFT features rotation invariance describe texture of potential targets, and divides targets into regions non-target through NCM clustering. paper can realize automatic also effective for orientation. The experimental results verify feasibility validity method.