67 citations
- Rutgers, The State University of New JerseyUS35 papers
- Fuzhou UniversityCN9 papers
- Columbia UniversityUS5 papers
- Ghent UniversityBE5 papers
- Eindhoven University of TechnologyNL3 papers
- Environmental and Occupational Health Sciences InstituteUS3 papers
- ETH ZurichCH3 papers
- Georgia Institute of TechnologyUS3 papers
- McGill UniversityCA3 papers
- Princeton UniversityUS3 papers
- TU WienAT3 papers
- University of BonnDE3 papers
110 papers
Metaheuristic algorithms for the induced P-median problem with upgrades
Sergio Salazar, Abraham Duarte, Mauricio G. C. Resende +1
Facility location problems (FLPs) are a family of optimisation problems with significant social impact. This class of problems has been the subject of study since the 1960s, with c…
A Unified Framework for Automated Assembly Sequence and Production Line Planning using Graph-based Optimization
Christoph Hartmann, Marios Demetriades, Kevin Prüfer +3
This paper presents PyCAALP (Python-based Computer-Aided Assembly Line Planning), a framework for automated Assembly Sequence Planning (ASP) and Production Line Planning (PLP), emp…
Random-key genetic algorithms: Principles and applications
Mariana A. Londe, Luciana S. Pessoa, Carlos E. Andrade +2
A random-key genetic algorithm is an evolutionary metaheuristic for discrete and global optimization. Each solution is encoded as a vector of N random keys, where a random key is a…
Dual view of the Z-Gauged XY Model in 3D
Piers Coleman, Anatoly Kuklov, Alexei Tsvelik
The gauged neutral XY model is of long-standing interest both in the context of nematic order, and the study of fractionalization and superconductivity. This paper presents h…
Strong Equilibria in Bayesian Games with Bounded Group Size
Qishen Han, Grant Schoenebeck, Biaoshuai Tao +1
We study the group strategic behaviors in Bayesian games. Equilibria in previous work do not consider group strategic behaviors with bounded sizes and are too ``strong'' to exist i…
A Random-Key Optimizer for Combinatorial Optimization
Antonio A. Chaves, Mauricio G. C. Resende, Martin J. A. Schuetz +4
This paper introduces the Random-Key Optimizer (RKO), a versatile and efficient stochastic local search method tailored for combinatorial optimization problems. Using the random-ke…