Most cited papers in Advanced Multi-Objective Optimization Algorithms
What are the most cited papers in Advanced Multi-Objective Optimization Algorithms?
The most cited paper in Advanced Multi-Objective Optimization Algorithms is "A fast and elitist multiobjective genetic algorithm: NSGA-II" (Kalyanmoy Deb, Amrit Pratap, Sakshi Agarwal et al., 2002), with 49,664 citations. Next come "Optimization by Simulated Annealing" (45,251) and "Grey Wolf Optimizer" (19,320).
Showing 50 of 98 papers. Every paper with more than 1,884 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | A fast and elitist multiobjective genetic algorithm: NSGA-II Kalyanmoy Deb, Amrit Pratap, Sakshi Agarwal et al. · IEEE Transactions on Evolutionary Computation | Apr 2002 | 49,664 |
| 2 | Optimization by Simulated Annealing Scott Kirkpatrick, C. D. Gelatt, Mario P. Vecchi · Science | 13 May 1983 | 45,251 |
| 3 | Grey Wolf Optimizer Seyedali Mirjalili, Seyed Mohammad Mirjalili, Seyed Mohammad Mirjalili et al. · Advances in Engineering Software | 21 Jan 2014 | 19,320 |
| 4 | The Whale Optimization Algorithm Seyedali Mirjalili, Andrew W. Lewis · Advances in Engineering Software | 26 Feb 2016 | 14,627 |
| 5 | A modified particle swarm optimizer Yibing Shi, R.C. Eberhart | 27 Nov 2002 | 10,246 |
| 6 | MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition Qingfu Zhang, Hui Li · IEEE Transactions on Evolutionary Computation | 29 Nov 2007 | 10,000 |
| 7 | The particle swarm - explosion, stability, and convergence in a multidimensional complex space Maurice Clerc, James C. Kennedy · IEEE Transactions on Evolutionary Computation | 2002 | 9,039 |
| 8 | Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach Eckart Zitzler, Lothar Thiele · IEEE Transactions on Evolutionary Computation | 1999 | 8,815 |
| 9 | Optuna Takuya Akiba, Shotaro Sano, Toshihiko Yanase et al. | 25 Jul 2019 | 8,344 |
| 10 | Efficient Global Optimization of Expensive Black-Box Functions Donald R. Jones, Matthias Schonlau, William J. Welch · Journal of Global Optimization | Dec 1998 | 8,096 |
| 11 | Random search for hyper-parameter optimization James Bergstra, Yoshua Bengio, Léon Bottou | 2012 | 7,930 |
| 12 | A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm Derviş Karaboğa, Bahriye Basturk · Journal of Global Optimization | 13 Apr 2007 | 7,669 |
| 13 | An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints Kalyanmoy Deb, Himanshu Jain · IEEE Transactions on Evolutionary Computation | 16 Sep 2013 | 7,153 |
| 14 | Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms N. Srinivas, Kalyanmoy Deb · Evolutionary Computation | Sep 1994 | 6,944 |
| 15 | Ant Colony Optimization Teofilo F. Gonzalez | 15 May 2007 | 6,658 |
| 16 | A New Heuristic Optimization Algorithm: Harmony Search Zong Woo Geem, Joong Hoon Kim, G. V. Loganathan · SIMULATION | Feb 2001 | 6,288 |
| 17 | Taking the Human Out of the Loop: A Review of Bayesian Optimization Bobak Shahriari, Kevin Swersky, Ziyu Wang et al. · Proceedings of the IEEE | 10 Dec 2015 | 6,252 |
| 18 | SCA: A Sine Cosine Algorithm for solving optimization problems Seyedali Mirjalili · Knowledge-Based Systems | 6 Jan 2016 | 5,733 |
| 19 | Comparison of Multiobjective Evolutionary Algorithms: Empirical Results Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele · Evolutionary Computation | Jun 2000 | 5,711 |
| 20 | A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms Joaquín Derrac, Salvador García, Daniel Molina et al. · Swarm and Evolutionary Computation | Mar 2011 | 5,536 |
| 21 | Gaussian Processes in Machine Learning Carl Edward Rasmussen · Lecture notes in computer science | 2004 | 5,379 |
| 22 | Ant colony optimization Marco Dorigo, Mauro Birattari, Thomas Stützle · IEEE Computational Intelligence Magazine | Nov 2006 | 5,332 |
| 23 | Differential Evolution: A Survey of the State-of-the-Art Swagatam Das, Ponnuthurai Nagaratnam Suganthan · IEEE Transactions on Evolutionary Computation | 19 Oct 2010 | 5,321 |
| 24 | A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization: NSGA-II Kalyanmoy Deb, Samir G. Agrawal, Amrit Pratap et al. · Lecture notes in computer science | 2000 | 5,282 |
| 25 | Teaching–learning-based optimization: A novel method for constrained mechanical design optimization problems R. Venkata Rao, Vimal J. Savsani, Dipak P. Vakharia · Computer-Aided Design | 8 Jan 2011 | 5,174 |
| 26 | Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems Seyedali Mirjalili, Seyedali Mirjalili, Amir H. Gandomi et al. · Advances in Engineering Software | 25 Jul 2017 | 5,118 |
| 27 | Survey of multi-objective optimization methods for engineering R. Timothy Marler, Jasbir Singh Arora · Structural and Multidisciplinary Optimization | 22 Mar 2004 | 4,728 |
| 28 | Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm Seyedali Mirjalili · Knowledge-Based Systems | 18 Jul 2015 | 4,658 |
| 29 | Handling multiple objectives with particle swarm optimization Carlos A. Coello Coello, G.T. Pulido, M.S. Lechuga · IEEE Transactions on Evolutionary Computation | Jun 2004 | 4,471 |
| 30 | Performance assessment of multiobjective optimizers: an analysis and review Eckart Zitzler, Lothar Thiele, Marco Laumanns et al. · IEEE Transactions on Evolutionary Computation | Apr 2003 | 4,344 |
| 31 | Factorial Sampling Plans for Preliminary Computational Experiments Max D. Morris · Technometrics | May 1991 | 4,133 |
| 32 | Firefly Algorithms for Multimodal Optimization Xin‐She Yang · Lecture notes in computer science | 2009 | 4,098 |
| 33 | Empirical study of particle swarm optimization Yibing Shi, R.C. Eberhart | 20 Jan 2003 | 3,958 |
| 34 | Evolutionary programming made faster Xin Yao, Yong Liu, Guangming Lin · IEEE Transactions on Evolutionary Computation | Jul 1999 | 3,937 |
| 35 | An efficient constraint handling method for genetic algorithms Kalyanmoy Deb · Computer Methods in Applied Mechanics and Engineering | Jun 2000 | 3,897 |
| 36 | Recovery of inter-block information when block sizes are unequal H. D. Patterson, Robin Thompson · Biometrika | 1971 | 3,837 |
| 37 | Comprehensive learning particle swarm optimizer for global optimization of multimodal functions Jing Liang, A. Kai Qin, Ponnuthurai Nagaratnam Suganthan et al. · IEEE Transactions on Evolutionary Computation | Jun 2006 | 3,768 |
| 38 | JADE: Adaptive Differential Evolution With Optional External Archive Jingqiao Zhang, Arthur C. Sanderson · IEEE Transactions on Evolutionary Computation | 21 Aug 2009 | 3,764 |
| 39 | Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization A. Kai Qin, V. L. Huang, Ponnuthurai Nagaratnam Suganthan · IEEE Transactions on Evolutionary Computation | 29 Sep 2008 | 3,637 |
| 40 | Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index Andrea Saltelli, Paola Annoni, Ivano Azzini et al. · Computer Physics Communications | Oct 2009 | 3,573 |
| 41 | Multi-objective optimization using genetic algorithms: A tutorial Abdullah Konak, David W. Coit, Alice E. Smith · Reliability Engineering & System Safety | 10 Jan 2006 | 3,452 |
| 42 | On hyperparameter optimization of machine learning algorithms: Theory and practice Li Yang, Abdallah A. Shami · Neurocomputing | 25 Jul 2020 | 3,270 |
| 43 | The Ant Lion Optimizer Seyedali Mirjalili · Advances in Engineering Software | 3 Mar 2015 | 3,237 |
| 44 | A comparative study of Artificial Bee Colony algorithm Derviş Karaboğa, Bahriye Akay · Applied Mathematics and Computation | 13 Apr 2009 | 3,222 |
| 45 | Reinforcement learning in robotics: A survey Jens Kober, James Andrew Bagnell, Jan Peters · The International Journal of Robotics Research | 23 Aug 2013 | 3,175 |
| 46 | Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems Janez Brest, Sao Greiner, Borko Boškovič et al. · IEEE Transactions on Evolutionary Computation | Dec 2006 | 3,096 |
| 47 | A Generalization of Sampling Without Replacement from a Finite Universe Daniel G. Horvitz, Donovan J. Thompson · Journal of the American Statistical Association | Dec 1952 | 3,060 |
| 48 | Comparing inertia weights and constriction factors in particle swarm optimization R.C. Eberhart, Yan Shi | 7 Nov 2002 | 2,968 |
| 49 | Multi-Verse Optimizer: a nature-inspired algorithm for global optimization Seyedali Mirjalili, Seyed Mohammad Mirjalili, Seyed Mohammad Mirjalili et al. · Neural Computing and Applications | 16 Mar 2015 | 2,955 |
| 50 | Topology optimization approaches Ole Sigmund, Kurt K. Maute · Structural and Multidisciplinary Optimization | 20 Aug 2013 | 2,893 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.