Decomposition Based Quantum Inspired Salp Swarm Algorithm for Multiobjective Optimization
IEEE Access, 2022 Various real-world problems are essentially multiobjective optimization problems (MOPs), which involve several conflicting objectives. We propose a Quantum-inspired multiobjective Salp Swarm Algorithm based on the Decomposition technique to locate the ...
Sanjai Pathak +3 more
doaj +1 more source
Strategies for multiobjective genetic algorithm development: Application to optimal batch plant design in process systems engineering [PDF]
, 2008 This work deals with multiobjective optimization problems using Genetic Algorithms (GA). A MultiObjective GA (MOGA) is proposed to solve multiobjective problems combining both continuous and discrete variables.
Azzaro-Pantel, Catherine +3 more
core +1 more source
Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs) [PDF]
, 2020 Recently, increasing works have proposed to drive evolutionary algorithms using machine learning models. Usually, the performance of such model based evolutionary algorithms is highly dependent on the training qualities of the adopted models.
Cheng, Ran +4 more
core +3 more sources
Energy Consumption Optimization in Trajectory Planning for Fuel Cell Hybrid Uavs Based On HMPC
Advanced Robotics Research, EarlyView.The endurance limitation of multirotor drones is a critical challenge. This study adopts a hybrid power system of fuel cells and lithium‐ion batteries. Using Nondominated Sorting Genetic Algorithm II, it integrates trajectory planning with energy management optimization.
Xindi Wang +7 more
wiley +1 more source
Interior Point Algorithm for Multi-UAVs Formation Autonomous Reconfiguration
Journal of Control Science and Engineering, 2016 Here the problem of designing multi-UAVs formation autonomous reconfiguration is considered. Combined with three kinds of cost functions, nonlinear dynamic equations, and four inequality constraints, one nonlinear multiobjective optimization problem is ...
Wang Jian-hong, Rana Javed Masood
doaj +1 more source
A multiobjective dominance and decomposition algorithm for reservoir model history matching
Petroleum, 2019 Reservoir model history matching is a multiobjective optimization problem. It involves the adjustment of relevant reservoir model input parameters, to minimize the mismatch between simulated and observed reservoir responses and to obtain a diverse set of
Osho Ilamah
doaj +1 more source
Collision‐Resilient Winged Drones Enabled by Tensegrity Structures
Advanced Robotics Research, EarlyView.Based on structures of birds such as the woodpeck, this article presents the collision‐resilient aerial robot, SWIFT. SWIFT leverages tensegrity structures in the fuselage and wings which allow it to undergo large deformations in a crash, without sustaining damage. Experiments show that SWIFT can reduce impact forces by 70% over conventional structures.
Omar Aloui +5 more
wiley +1 more source
Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
Advanced Robotics Research, EarlyView.A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang +5 more
wiley +1 more source
The Scientific World Journal, 2015 Considering reducing the airspace congestion and the flight delay simultaneously, this paper formulates the airway network flow assignment (ANFA) problem as a multiobjective optimization model and presents a new multiobjective optimization framework to ...
Xiangmin Guan +4 more
doaj +1 more source
A modified migration model biogeography evolutionary approach for electromagnetic device multiobjective optimization [PDF]
, 2014 Inthispaper, we present anefficient androbust algorithm for multiobjective optimization of electromagnetic devices.Therecentlydeveloped biogeography-based optimization (BBO) is modified byadapting its migration model function so as to improve its ...
Dupré, Luc +2 more
core