Results 41 to 50 of about 57,703 (300)

A New Metaheuristic Bat-Inspired Algorithm

, 2010
Metaheuristic algorithms such as particle swarm optimization, firefly algorithm and harmony search are now becoming powerful methods for solving many tough optimization problems.
J. Kennedy, J.D. Altringham, J.H. Holland, K. Deep, M. Mitchell, P. Richardson, S. Kirkpatrick, T. Colin, X.-S. Yang, Z.W. Geem   +9 more
core   +1 more source

Firefly Algorithm: Recent Advances and Applications [PDF]

, 2013
Nature-inspired metaheuristic algorithms, especially those based on swarm intelligence, have attracted much attention in the last ten years. Firefly algorithm appeared in about five years ago, its literature has expanded dramatically with diverse ...
He, Xingshi, Yang, Xin-She
core   +1 more source

Overview of Metaheuristic Algorithms

Polaris Global Journal of Scholarly Research and Trends, 2023
Metaheuristic algorithms are optimization algorithms that are used to address complicated issues that cannot be solved using standard approaches. These algorithms are inspired by natural processes such as genetics, swarm behavior, and evolution, and they are used to explore a broad search space to identify the global optimum of a problem.
Saman M. Almufti, Awaz Ahmad Shaban, Zeravan Arif Ali, Rasan Ismael Ali, Jayson A. Dela Fuente, Renas Rajab Asaad   +5 more
openaire   +1 more source

Neural based hybrid metaheuristic technique for computing rotating transport of Falkner-Skan flow

Alexandria Engineering Journal, 2018
In present analysis we are focused on neural based hybrid metaheuristic technique for computing rotating transport of Falkner-Skan flow. We incorporate modeling of present problem using artificial neural network (ANN).
Z. Iqbal, Ehtsham Azhar, Zaffar Mehmood, Mirza Muhammad Sabir   +3 more
doaj   +1 more source

Free Lunch or No Free Lunch: That is not Just a Question?

, 2012
The increasing popularity of metaheuristic algorithms has attracted a great deal of attention in algorithm analysis and performance evaluations. No-free-lunch theorems are of both theoretical and practical importance, while many important studies on ...
Yang, Xin-She
core   +1 more source

Accelerated Particle Swarm Optimization and Support Vector Machine for Business Optimization and Applications [PDF]

, 2011
Business optimization is becoming increasingly important because all business activities aim to maximize the profit and performance of products and services, under limited resources and appropriate constraints.
A. Chatterjee, B. Scholkopf, C. Blum, D.E. Goldberg, G.R. Shi, G.R. Shi, J. Kennedy, J.C. Plate, K. Kim, L.-X. Liu, M. Clerc, N. Lu, P.F. Pai, R. Kohavi, R. Kolisch, S. Hartmann, T. Howley, V. Vapnik, V. Vapnik, X.-S. Yang, X.-S. Yang, X.S. Yang, X.S. Yang, X.S. Yang   +23 more
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A systematic literature review of diabetes prediction using metaheuristic algorithm-based feature selection: Algorithms and challenges method

Applied Computer Science
Diabetes is a disruption in metabolism that leads to elevated levels of glucose in the bloodstream and causes many other problems, such as stroke, kidney failure, heart, and nerve issues that are of serious concern globally.
Sirmayanti, Pulung Hendro PRASTYO, Mahyati, Farhan RAHMAN   +3 more
doaj   +1 more source

A variable neighborhood search simheuristic for project portfolio selection under uncertainty [PDF]

, 2018
With limited nancial resources, decision-makers in rms and governments face the task of selecting the best portfolio of projects to invest in. As the pool of project proposals increases and more realistic constraints are considered, the problem becomes
Döering, Jana, Fitó Bertran, Àngels, Juan Pérez, Ángel Alejandro, Kizys, Renatas, Panadero Martínez, Javier   +4 more
core   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

A clustering metaheuristic for large orienteering problems.

PLoS ONE, 2022
The Orienteering Problem is a routing problem that commonly appears in mapping, transportation, distribution, and scheduling scenarios. The Orienteering Problem is a challenging NP-hard problem, such that obtaining optimal or near optimal solutions ...
Almiqdad Elzein, Gianni A Di Caro
doaj   +1 more source