Results 241 to 250 of about 7,467 (294)

Clinical outcome prediction in pediatric respiratory infections using hybrid feature selection and a genetic algorithm-optimized machine learning. [PDF]

Sci Rep
Madhalaimuthu S, Radhakrishnan S.
europepmc   +1 more source

Current Applications and Future Perspectives of Artificial Intelligence in Face-Driven Orthodontics: A Scoping Review. [PDF]

Biomimetics (Basel)
Heribanová B, Janáková K, Tomášik J, Tichá D, Harsányi Š, Thurzo A.   +5 more
europepmc   +1 more source

A CNN-GRU framework for stroke-heart attack prediction using IMOWPA-tuned SMOTE and LZMA compression. [PDF]

Digit Health
Maheswari V U, Kumar B S, Aluvalu R, Kumar Ka J, Sekaran K, Mousavirad SJ, Tejani GG.   +6 more
europepmc   +1 more source

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An Intelligent Tuned Harmony Search algorithm for optimisation

Information Sciences, 2012
The Harmony Search (HS) algorithm is a population-based metaheuristic optimisation algorithm. This algorithm is inspired by the music improvisation process in which the musician searches for harmony and continues to polish the pitches to obtain a better harmony.
Parikshit Yadav, Rajesh Kumar, Sanjib Kumar Panda   +2 more
exaly   +2 more sources

Self-adaptive harmony search algorithm for optimization

Expert Systems With Applications, 2010
Recently, a new meta-heuristic optimization algorithm - harmony search (HS) with continuous design variables was developed. This algorithm is conceptualized using the musical improvisation process of searching for a perfect state of harmony. Although several variants and an increasing number of applications have appeared, one of its main difficulties ...
Chia-Ming Wang, Yin-Fu Huang
exaly   +2 more sources

Review of harmony search with respect to algorithm structure

Swarm and Evolutionary Computation, 2019
Abstract Harmony Search (HS) is a metaheuristic optimisation algorithm inspired by musical improvisation. So far it has been applied to various optimisation problems, and there are several application-oriented review papers. However, this review paper tries to focus on the historical development of algorithm structure instead of applications.
Tonghua Zhang, Zong Woo Geem
exaly   +3 more sources

A survey on applications of the harmony search algorithm

Engineering Applications of Artificial Intelligence, 2013
Diana Manjarres, S Gil-López, Javier Del Ser   +2 more
exaly   +2 more sources

Harmony Search Algorithm

, 2016
The Harmony Search Algorithm (HSA) is one of the most well-known techniques in the field of soft computing, an important paradigm in the science and engineering community.
Geem, Zong, Kim, Joong
openaire   +2 more sources

Hybrid Harmony Search Algorithms

International Journal on Artificial Intelligence Tools, 2015
Harmony search algorithm (HSA) is a music-inspired population-based meta-heuristic search and optimization algorithm. In order to improve exploration or global search ability, exploit local search more effectively, increase convergence speed, improve solution quality, and minimize computational cost, researchers have advanced the concept of hybridizing
Nazmul H. Siddique, Hojjat Adeli
openaire   +1 more source

A random distribution harmony search algorithm

2018 Tenth International Conference on Advanced Computational Intelligence (ICACI), 2018
Harmony Search (HS) algorithm is widely applied in high-dimensional complex optimization problems. However, there are several drawbacks with HS algorithm for which HS algorithm is unable to find global optimum solution efficiently and effectively sometimes.
Jiadong Gu, Defeng Wu
openaire   +1 more source