Tourism service scheduling in smart city based on hybrid genetic algorithm simulated annealing algorithm
P Suanpang, P Jamjuntr, K Jermsittiparsert… - Sustainability, 2022 - mdpi.com
The disruptions in this era have caused a leap forward in information technology being
applied in organizations to create a competitive advantage. In particular, we see this in …
applied in organizations to create a competitive advantage. In particular, we see this in …
A new multiobjective simulated annealing algorithm—MOSA‐GR: Application to the optimal design of water distribution networks
This paper presents a simulated annealing multiobjective algorithm developed to include
novel features for promoting the convergence toward the best Pareto front that shows …
novel features for promoting the convergence toward the best Pareto front that shows …
[HTML][HTML] Machine Learning-Based Modeling for Structural Engineering: A Comprehensive Survey and Applications Overview
Modeling and simulation have been extensively used to solve a wide range of problems in
structural engineering. However, many simulations require significant computational …
structural engineering. However, many simulations require significant computational …
Identifying Hyper-Heuristic Trends through a Text Mining Approach on the Current Literature
Hyper-heuristics have arisen as methods that increase the generality of existing solvers.
They have proven helpful for dealing with complex problems, particularly those related to …
They have proven helpful for dealing with complex problems, particularly those related to …
Discovering action regions for solving the bin packing problem through hyper-heuristics
A Silva-Gálvez, J Orozco-Sanchez… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Hyper-heuristics represent an innovative method for solving hard combinatorial problems
such as the Bin Packing Problem. In this work, we propose a solution model that …
such as the Bin Packing Problem. In this work, we propose a solution model that …