...Qingnan Ma; Jun Sun; Kexin Liu; Xiande Wu; Yuchi Yi Purpose The purpose of this paper is to propose a hybrid algorithm of branch pruning and genetic algorithm to get a fast and feasible solution for satellite swarm tasks planning. Design/methodology/approach This paper proposes an algorithm...

... have no conflicts to disclose. 24 01 2025 22 04 2025 25 05 2025 © 2025 Emerald Publishing Limited 2025 Emerald Publishing Limited Licensed re-use rights only Flared folding winglet Aeroelastic optimization Genetic algorithm Flutter Gust load alleviation...

... VTOL design UAV Low-cost manufacturing Genetic algorithm Design Conceptual design Figure 1 Weight fractions plotted against takeoff gross weight (TOGW) for different configurations of cargo UAVs in operation. The hybrid configuration show a particular trend when increasing TOGW Source...

... optimization problem solved using a genetic algorithm. The objective function for optimization incorporates the failure index, target deflection and actuation force for both upper and lower deflection. To produce the single objective value a weighting is used. The constraints and conditions are used to reduce...

... conducts as a mission assignment of the single location per flight with the constraint satisfactions such as various payloads in weight, drone speeds, flight times and coverage distances. A genetic algorithm is modified as the concurrent heuristics approach (GCH), which has the knapsack problem dealing...

... the vibration response of aero-engine pipeline system, and the optimization of the hoop layout for aero-engine spatial pipelines under random excitation to reduce random vibration response is studied systematically. Genetic algorithm Optimization of hoop layout Random excitation Spatial pipeline...

..., aerodynamics, propulsion and trajectory. Nineteen design variables were selected to optimize expendable MSLV to launch a 100 kg satellite at an altitude of 600 km in the low earth orbit. Modern heuristic optimization methods such as genetic algorithm (GA), particle swarm optimization (PSO) and SA are applied...

... expressions of objective function and constraints. In addition, a hybrid algorithm model synthesizing the advantages of genetic algorithm (GA) and Tabu search (TS) has been proposed to solve the optimization problem of the DAL assignment. Findings The results of the case study show that the proposed...

... condition. In this way, a simple genetic algorithm is used to search a group of parameters of the control system to satisfy the specific performance indices. Then parametric uncertainties are considered to verify the robustness of the control system. Findings The PD hypersonic vehicle control system...

... compliant skin design, aerodynamic shape optimization able to take into account the structural behaviour of the morphing skin, continuum-based and load path representation topology optimization methods and multi-objective optimization coupled with genetic algorithm for compliant internal substructure design...

.../value – Both the duct loss and flow distortion can be simultaneously reduced by significant amounts. Timoleon Kipouros can be contacted at: timos.kipouros@cranfield.ac.uk © Emerald Group Publishing Limited 2014 Design Multi-objective optimisation S-shaped diffuser Genetic...

...Reza Aghaei tog; Abolghasem Mesgarpoor Tousi Purpose – This paper is concerned with improving the flow pattern in the nozzle-rotor axial gap in impulse turbines using a genetic algorithm (GA) and 3D numerical analysis. The paper aims to discuss these issues. Design/methodology/approach...

... thrust solid rocket motor (DTRM) under uncertainties in design parameters. Design/methodology/approach The methodology consists of design of 3D complex grain geometry and hybrid optimization approach through genetic algorithm, globally and simulated annealing, locally considering the uncertainties...