A review of population-based metaheuristics for large-scale black-box global optimization—Part II
MN Omidvar, X Li, X Yao - IEEE Transactions on Evolutionary …, 2021 - ieeexplore.ieee.org
This article is the second part of a two-part survey series on large-scale global optimization.
The first part covered two major algorithmic approaches to large-scale optimization, namely …
The first part covered two major algorithmic approaches to large-scale optimization, namely …
A review of population-based metaheuristics for large-scale black-box global optimization—Part I
MN Omidvar, X Li, X Yao - IEEE Transactions on Evolutionary …, 2021 - ieeexplore.ieee.org
Scalability of optimization algorithms is a major challenge in coping with the ever-growing
size of optimization problems in a wide range of application areas from high-dimensional …
size of optimization problems in a wide range of application areas from high-dimensional …
[HTML][HTML] Large-scale evolutionary optimization: A review and comparative study
Large-scale global optimization (LSGO) problems have widely appeared in various real-
world applications. However, their inherent complexity, coupled with the curse of …
world applications. However, their inherent complexity, coupled with the curse of …
[PDF][PDF] Benchmark functions for the CEC 2013 special session and competition on large-scale global optimization
This report proposes 15 large-scale benchmark problems as an extension to the existing
CEC'2010 large-scale global optimization benchmark suite. The aim is to better represent a …
CEC'2010 large-scale global optimization benchmark suite. The aim is to better represent a …
SHADE with iterative local search for large-scale global optimization
Global optimization is a very important topic in research due to its wide applications in many
real-world problems in science and engineering. Among optimization problems …
real-world problems in science and engineering. Among optimization problems …
Investigating surrogate-assisted cooperative coevolution for large-scale global optimization
Problems involving large-scale global optimization (LSGO) are becoming more and more
frequent. For this reason, the last few years have seen an increasing number of researchers …
frequent. For this reason, the last few years have seen an increasing number of researchers …
A comparison of global search algorithms for continuous black box optimization
Four methods for global numerical black box optimization with origins in the mathematical
programming community are described and experimentally compared with the state of the …
programming community are described and experimentally compared with the state of the …
DG2: A faster and more accurate differential grouping for large-scale black-box optimization
Identification of variable interaction is essential for an efficient implementation of a divide-
and-conquer algorithm for large-scale black-box optimization. In this paper, we propose an …
and-conquer algorithm for large-scale black-box optimization. In this paper, we propose an …
Black-box optimization revisited: Improving algorithm selection wizards through massive benchmarking
Existing studies in black-box optimization suffer from low generalizability, caused by a
typically selective choice of problem instances used for training and testing of different …
typically selective choice of problem instances used for training and testing of different …
A competitive divide-and-conquer algorithm for unconstrained large-scale black-box optimization
This article proposes a competitive divide-and-conquer algorithm for solving large-scale
black-box optimization problems for which there are thousands of decision variables and the …
black-box optimization problems for which there are thousands of decision variables and the …