Multi-population techniques in nature inspired optimization algorithms: A comprehensive survey
Multi-population based nature-inspired optimization algorithms have attracted wide research
interests in the last decade, and become one of the frequently used methods to handle real …
interests in the last decade, and become one of the frequently used methods to handle real …
Differential evolution with neighborhood mutation for multimodal optimization
In this paper, a neighborhood mutation strategy is proposed and integrated with various
niching differential evolution (DE) algorithms to solve multimodal optimization problems …
niching differential evolution (DE) algorithms to solve multimodal optimization problems …
Route planning for unmanned aerial vehicle (UAV) on the sea using hybrid differential evolution and quantum-behaved particle swarm optimization
Y Fu, M Ding, C Zhou, H Hu - IEEE Transactions on Systems …, 2013 - ieeexplore.ieee.org
This paper presents a hybrid differential evolution (DE) with quantum-behaved particle
swarm optimization (QPSO) for the unmanned aerial vehicle (UAV) route planning on the …
swarm optimization (QPSO) for the unmanned aerial vehicle (UAV) route planning on the …
Dual-strategy differential evolution with affinity propagation clustering for multimodal optimization problems
Multimodal optimization problem (MMOP), which targets at searching for multiple optimal
solutions simultaneously, is one of the most challenging problems for optimization. There …
solutions simultaneously, is one of the most challenging problems for optimization. There …
History archive assisted niching differential evolution with variable neighborhood for multimodal optimization
Z Liao, X Mi, Q Pang, Y Sun - Swarm and Evolutionary Computation, 2023 - Elsevier
Multimodal optimization problems (MMOPs) require the algorithms to find multiple global or
local optima in a single run, which is considered a difficult task. In recent years, niching …
local optima in a single run, which is considered a difficult task. In recent years, niching …
A hierarchical approach for fast and robust ellipse extraction
F Mai, YS Hung, H Zhong, WF Sze - Pattern Recognition, 2008 - Elsevier
This paper presents a hierarchical approach for fast and robust ellipse extraction from
images. At the lowest level, the image is described as a set of edge pixels, from which line …
images. At the lowest level, the image is described as a set of edge pixels, from which line …
Adaptive estimation distribution distributed differential evolution for multimodal optimization problems
Multimodal optimization problems (MMOPs) require algorithms to locate multiple optima
simultaneously. When using evolutionary algorithms (EAs) to deal with MMOPs, an intuitive …
simultaneously. When using evolutionary algorithms (EAs) to deal with MMOPs, an intuitive …
Optimizing niche center for multimodal optimization problems
Many real-world optimization problems require searching for multiple optimal solutions
simultaneously, which are called multimodal optimization problems (MMOPs). For MMOPs …
simultaneously, which are called multimodal optimization problems (MMOPs). For MMOPs …
A penalty-based differential evolution for multimodal optimization
It is very difficult to locate multiple global optimal solutions (GOSs) of multimodal optimization
problems (MMOPs). To deal with this issue, a penalty-based multimodal optimization …
problems (MMOPs). To deal with this issue, a penalty-based multimodal optimization …
A Kriging model-based evolutionary algorithm with support vector machine for dynamic multimodal optimization
Dynamic multimodal optimization problems (DMMOPs) have to search multiple global
optimal solutions with the objectives and constraints dynamically changing over time. In …
optimal solutions with the objectives and constraints dynamically changing over time. In …