An insight into bio-inspired and evolutionary algorithms for global optimization: review, analysis, and lessons learnt over a decade of competitions
Over the recent years, continuous optimization has significantly evolved to become the
mature research field it is nowadays. Through this process, evolutionary algorithms had an …
mature research field it is nowadays. Through this process, evolutionary algorithms had an …
A BP neural network prediction model based on dynamic cuckoo search optimization algorithm for industrial equipment fault prediction
The fault prediction problem for modern industrial equipment is a hot topic in current
research. So, this paper first proposes a dynamic cuckoo search algorithm. The algorithm …
research. So, this paper first proposes a dynamic cuckoo search algorithm. The algorithm …
Extracting new dispatching rules for multi-objective dynamic flexible job shop scheduling with limited buffer spaces
Dispatching rules are among the most widely applied and practical methods for solving
dynamic flexible job shop scheduling problems in manufacturing systems. Hence, the …
dynamic flexible job shop scheduling problems in manufacturing systems. Hence, the …
[BOOK][B] Direction of arrival estimation and localization of multi-speech sources
Speech processing and localization/tracking of acoustic sources have a significant role in
the automation of several applications, including video conferencing with audio-based …
the automation of several applications, including video conferencing with audio-based …
Rank-based gravitational search algorithm: a novel nature-inspired optimization algorithm for wireless sensor networks clustering
Recently, wireless sensor networks (WSNs) have had many real-world applications; they
have thus become one of the most interesting areas of research. The network lifetime is a …
have thus become one of the most interesting areas of research. The network lifetime is a …
Challenges and future perspectives in speech-sources direction of arrival estimation and localization
Challenges and Future Perspectives in Speech-Sources Direction of Arrival Estimation and
Localization | SpringerLink Skip to main content Advertisement SpringerLink Account Menu …
Localization | SpringerLink Skip to main content Advertisement SpringerLink Account Menu …
Clustering of remote sensing imagery using a social recognition-based multi-objective gravitational search algorithm
A Zhang, S Liu, G Sun, H Huang, P Ma, J Rong… - Cognitive …, 2019 - Springer
Cognitively inspired swarm intelligence algorithms (SIAs) have attracted much attention in
the research area of clustering since it can give machine the ability of self-learning to …
the research area of clustering since it can give machine the ability of self-learning to …
A big data approach for the extraction of fuzzy emerging patterns
Nowadays, the growth of available data, known as big data, and machine learning
techniques are changing our lives. The extraction of insights related to the underlying …
techniques are changing our lives. The extraction of insights related to the underlying …
Contour propagation for radiotherapy treatment planning using nonrigid registration and parameter optimization: case studies in liver and breast cancer
Radiotherapy treatments are carried out using computerized axial tomography. In radiation
therapy planning, the radiation oncologist must do a manual segmentation of volumes of …
therapy planning, the radiation oncologist must do a manual segmentation of volumes of …
Grey-Wolf-Based Wang's Demons for retinal image registration
Image registration has an imperative role in medical imaging. In this work, a grey-wolf
optimizer (GWO)-based non-rigid demons registration is proposed to support the retinal …
optimizer (GWO)-based non-rigid demons registration is proposed to support the retinal …