相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Komodo Mlipir Algorithm
Suyanto Suyanto et al.
APPLIED SOFT COMPUTING (2022)
Metaphor-based metaheuristics, a call for action: the elephant in the room
Claus Aranha et al.
SWARM INTELLIGENCE (2022)
New Benchmark Functions for Single-Objective Optimization Based on a Zigzag Pattern
Jakub Kudela et al.
IEEE ACCESS (2022)
Salp Swarm Optimization: A critical review
Mauro Castelli et al.
EXPERT SYSTEMS WITH APPLICATIONS (2022)
Commentary on: STOA: A bio-inspired based optimization algorithm for industrial engineering problems'' [EAAI, 82 (2019), 148-174] and Tunicate Swarm Algorithm: A new bio-inspired based metaheuristic paradigm for global optimization'' [EAAI, 90 (2020), no. 103541]
Jakub Kudela
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2022)
Nature inspired optimization algorithms or simply variations of metaheuristics?
Alexandros Tzanetos et al.
ARTIFICIAL INTELLIGENCE REVIEW (2021)
Enhanced Marine Predators Algorithm with Local Escaping Operator for Global Optimization
Mariusz Oszust
KNOWLEDGE-BASED SYSTEMS (2021)
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems
Eneko Osaba et al.
SWARM AND EVOLUTIONARY COMPUTATION (2021)
More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems
Javier Del Ser et al.
2021 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2021) (2021)
Novel Zigzag-based Benchmark Functions for Bound Constrained Single Objective Optimization
Jakub Kudela
2021 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC 2021) (2021)
Social Network Search for Global Optimization
Siamak Talatahari et al.
IEEE ACCESS (2021)
On Selection of a Benchmark by Determining the Algorithms' Qualities
Iztok Fister et al.
IEEE ACCESS (2021)
MIPLIB 2017: data-driven compilation of the 6th mixed-integer programming library
Ambros Gleixner et al.
MATHEMATICAL PROGRAMMING COMPUTATION (2021)
Slime mould algorithm: A new method for stochastic optimization
Shimin Li et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)
Gradient-based optimizer: A new metaheuristic optimization algorithm
Iman Ahmadianfar et al.
INFORMATION SCIENCES (2020)
Butterfly optimization algorithm: a novel approach for global optimization
Sankalap Arora et al.
SOFT COMPUTING (2019)
Benchmarking evolutionary algorithms for single objective real-valued constrained optimization - A critical review
Michael Hellwig et al.
SWARM AND EVOLUTIONARY COMPUTATION (2019)
The defect of the Grey Wolf optimization algorithm and its verification method
Peifeng Niu et al.
KNOWLEDGE-BASED SYSTEMS (2019)
The intelligent water drops algorithm: why it cannot be considered a novel algorithm A brief discussion on the use of metaphors in optimization
Christian Leonardo Camacho-Villalon et al.
SWARM INTELLIGENCE (2019)
STOA: A bio-inspired based optimization algorithm for industrial engineering problems
Gaurav Dhiman et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2019)
Harris hawks optimization: Algorithm and applications
Ali Asghar Heidari et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
Hybrid Sampling Evolution Strategy for Solving Single Objective Bound Constrained Problems
Geng Zhang et al.
2018 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) (2018)
Since CEC 2005 competition on real-parameter optimisation: a decade of research, progress and comparative analysis's weakness
Carlos Garcia-Martinez et al.
SOFT COMPUTING (2017)
On the influence of the number of algorithms, problems, and independent runs in the comparison of evolutionary algorithms
Niki Vecek et al.
APPLIED SOFT COMPUTING (2017)
Regarding the rankings of optimization heuristics based on artificially-constructed benchmark functions
Adam P. Piotrowski
INFORMATION SCIENCES (2015)
How novel is the novel black hole optimization approach?
Adam P. Piotrowski et al.
INFORMATION SCIENCES (2014)
A Rigorous Analysis of the Harmony Search Algorithm: How the Research Community can be Misled by a Novel Methodology
Dennis Weyland
INTERNATIONAL JOURNAL OF APPLIED METAHEURISTIC COMPUTING (2010)