Sign Up to like & get
recommendations!
0
Published in 2019 at "EURO Journal on Transportation and Logistics"
DOI: 10.1007/s13676-019-00141-w
Abstract: A variant of the hub location routing problem studied in this work, which is the problem of locating a set of hub nodes, is establishing the hub-level network and allocating the spoke nodes to the…
read more here.
Keywords:
hub;
location routing;
hub location;
problem ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3106815
Abstract: Although the number of solutions in combinatorial optimization problems (COPs) is finite, some problems grow exponentially and render exact approaches unfeasible. So, approximate methods, such as heuristics, are customary. Each heuristic usually specializes in specific…
read more here.
Keywords:
map elites;
selection hyper;
sequence based;
hyper heuristic ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2020 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2020.2989794
Abstract: Representative driving cycles are very important for testing energy consumption and pollutant emission, optimizing control strategy, and designing power resource components of vehicles. Multi-parameter representative driving cycles are needed to improve vehicles’ adaptability to the…
read more here.
Keywords:
multi parameter;
driving cycles;
markov chain;
evolution ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2022 at "Algorithms"
DOI: 10.3390/a15110405
Abstract: Hyper-heuristics are widely used for solving numerous complex computational search problems because of their intrinsic capability to generalize across problem domains. The fair-share iterated local search is one of the most successful hyper-heuristics for cross-domain…
read more here.
Keywords:
iterated local;
evolutionary algorithm;
problem domains;
local search ... See more keywords