Metaheuristics for bilevel optimization: A comprehensive review

JF Camacho-Vallejo, C Corpus, JG Villegas - Computers & Operations …, 2024‏ - Elsevier
A bilevel programming model represents the relationship in a specific decision process that
involves decisions within a hierarchical structure of two levels. The upper-level problem is …

A review on bilevel optimization: From classical to evolutionary approaches and applications

A Sinha, P Malo, K Deb - IEEE transactions on evolutionary …, 2017‏ - ieeexplore.ieee.org
Bilevel optimization is defined as a mathematical program, where an optimization problem
contains another optimization problem as a constraint. These problems have received …

Chaotic local search-based differential evolution algorithms for optimization

S Gao, Y Yu, Y Wang, J Wang… - IEEE Transactions on …, 2019‏ - ieeexplore.ieee.org
JADE is a differential evolution (DE) algorithm and has been shown to be very competitive in
comparison with other evolutionary optimization algorithms. However, it suffers from the …

Improved grey wolf optimizer based on opposition and quasi learning approaches for optimization: case study autonomous vehicle including vision system

M Elsisi - Artificial intelligence review, 2022‏ - Springer
The adapting of lateral deviation during the change of road curvature with less error, system
settling time, and overshoot is the main challenge against the steering angle control of …

MPSO: Modified particle swarm optimization and its applications

D Tian, Z Shi - Swarm and evolutionary computation, 2018‏ - Elsevier
Particle swarm optimization (PSO) is a population based meta-heuristic search algorithm
that has been widely applied to a variety of problems since its advent. In PSO, the inertial …

Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS

MS Tehrany, B Pradhan, MN Jebur - Journal of hydrology, 2013‏ - Elsevier
Flood is one of the natural hazards which occur all over the world and it is critical to be
controlled through proper management. Severe flood events in Kelantan, Malaysia cause …

Bilevel optimization: theory, algorithms, applications and a bibliography

S Dempe - Bilevel optimization: advances and next challenges, 2020‏ - Springer
Bilevel optimization problems are hierarchical optimization problems where the feasible
region of the so-called upper level problem is restricted by the graph of the solution set …

CAPSO: Chaos adaptive particle swarm optimization algorithm

Y Duan, N Chen, L Chang, Y Ni, SVNS Kumar… - Ieee …, 2022‏ - ieeexplore.ieee.org
As an influential technology of swarm evolutionary computing (SEC), the particle swarm
optimization (PSO) algorithm has attracted extensive attention from all walks of life …

Multilevel decision-making: A survey

J Lu, J Han, Y Hu, G Zhang - Information Sciences, 2016‏ - Elsevier
Multilevel decision-making techniques aim to deal with decentralized management
problems that feature interactive decision entities distributed throughout a multiple level …

A hybrid artificial bee colony algorithm for optimal selection of QoS-based cloud manufacturing service composition

J Zhou, X Yao - The International Journal of Advanced Manufacturing …, 2017‏ - Springer
With the advent of cloud manufacturing (CMfg), more and more services in CMfg platforms
may provide the same functionality but differ in performance. In order to insure the …