A tri-population based co-evolutionary framework for constrained multi-objective optimization problems
Balancing between the optimization of objective functions and constraint satisfaction is
essential to handle constrained multi-objective optimization problems (CMOPs). Recently …
essential to handle constrained multi-objective optimization problems (CMOPs). Recently …
[HTML][HTML] Maximum number of generations as a stopping criterion considered harmful
Evolutionary algorithms have been shown to be very effective in solving complex
optimization problems. This has driven the research community in the development of novel …
optimization problems. This has driven the research community in the development of novel …
On the preferences of quality indicators for multi-objective search algorithms in search-based software engineering
Abstract Multi-Objective Search Algorithms (MOSAs) have been applied to solve diverse
Search-Based Software Engineering (SBSE) problems. In most cases, SBSE users select …
Search-Based Software Engineering (SBSE) problems. In most cases, SBSE users select …
A Multi-objective variable neighborhood search for the maximal covering location problem with customer preferences
L Mrkela, Z Stanimirović - Cluster Computing, 2022 - Springer
This paper considers a variant of maximal covering location problem with customer
preferences and two objectives involved: maximization of the weighted sum of the covered …
preferences and two objectives involved: maximization of the weighted sum of the covered …
Model-driven optimization: Generating smart mutation operators for multi-objective problems
N van Harten, CDN Damasceno… - 2022 48th Euromicro …, 2022 - ieeexplore.ieee.org
In search-based software engineering (SBSE), the choice of search operators can
significantly impact the quality of the obtained solutions and the efficiency of the search …
significantly impact the quality of the obtained solutions and the efficiency of the search …
Bus route design and frequency setting for public transit systems
G Husselmann - 2022 - scholar.sun.ac.za
The availability of effective public transport systems is increasingly becoming an urgent
problem in urban areas worldwide due to the traffic congestion caused by private vehicles …
problem in urban areas worldwide due to the traffic congestion caused by private vehicles …
[PDF][PDF] Model-Driven Optimization: Generating Smart Mutation Operators for Multi-Objective Problems
CDN Damasceno, N Harten, D Strüber - 2022 - repository.ubn.ru.nl
Model-Driven optimization: Generating Smart Mutation Operators for Multi-Objective
Problems Page 1 Model-Driven Optimization: Generating Smart Mutation Operators for Multi-Objective …
Problems Page 1 Model-Driven Optimization: Generating Smart Mutation Operators for Multi-Objective …