Digging Trajectory Optimization for Cable Shovel Robotic Excavation Based on a Multi-Objective Genetic Algorithm
نویسندگان
چکیده
منابع مشابه
Robot Trajectory Planning Using Multi-objective Genetic Algorithm Optimization
1 Universidade de Trás-os-Montes e Alto Douro, Dep. de Engenharia Electrotécnica, Quinta de Prados, 5000–911 Vila Real, Portugal, {epires,oliveira}@utad.pt, http://www.utad.pt/ ̃epires http://www.utad.pt/ ̃oliveira 2 Instituto Superior de Engenharia do Porto, Dep. de Engenharia Electrotécnica, Rua Dr. António Bernadino de Almeida, 4200-072 Porto, Portugal [email protected], http://www.dee.isep....
متن کاملMessy Genetic Algorithm Based Multi-Objective Optimization 1 Messy Genetic Algorithm Based Multi-Objective Optimization: A Comparative Statistical Analysis
Many real-world scientific and engineering applications involve finding solutions to “hard” Multiobjective Optimization Problems (MOPs). Genetic Algorithms (GAs) can be extended to find acceptable MOP Pareto solutions. The intent of this discussion is to illustrate that modifications made to the Multi-Objective messy GA (MOMGA) have further improved the efficiency of the algorithm. The MOMGA is...
متن کاملMOEICA: Enhanced multi-objective optimization based on imperialist competitive algorithm
In this paper, a multi-objective enhanced imperialist competitive algorithm (MOEICA) is presented. The main structures of the original ICA are employed while some novel approaches are also developed. Other than the non-dominated sorting and crowding distance methods which are used as the main tools for comparing and ranking solutions, an auxiliary comparison approach called fuzzy possession is ...
متن کاملGenetic algorithm for multi-objective experimental optimization
A new software tool making use of a genetic algorithm for multi-objective experimental optimization (GAME.opt) was developed based on a strength Pareto evolutionary algorithm. The software deals with high dimensional variable spaces and unknown interactions of design variables. This approach was evaluated by means of multi-objective test problems replacing the experimental results. A default pa...
متن کاملCellular Genetic Algorithm for Multi-Objective Optimization
In this paper, we show how cellular structures can be combined with a multi-objective genetic algorithm (MOGA) for improving its search ability to find Pareto-optimal solutions of multi-objective optimization problems. We propose an assignment method of a different search direction to each cell for implementing a cellular MOGA. In our cellular MOGA, every individual in each population exists in...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Energies
سال: 2020
ISSN: 1996-1073
DOI: 10.3390/en13123118