Clerc, Maurice, Iterative optimisation - When a best algorithm does exist and other frustrating theorems, 2021. https://hal.archives-ouvertes.fr/hal-03230263
Clerc, Maurice, MAMSO (Multi-agents multi strategies optimiser), 2021, https://hal.archives-ouvertes.fr/hal-03150719
Clerc, Maurice, A general quantum method to solve the graph K-colouring problem, 2020. https://hal.archives-ouvertes.fr/hal-02891847
Clerc, Maurice. Iterative Optimizers - Difficulty Measures and Benchmarks. Wiley, 2019. http://www.iste.co.uk/book.php?id=1477.
Clerc, Maurice. Optimiseurs itératifs - Mesures de difficulté et jeux d’essai. Informatique. ISTE (International Scientific and Technical Encyclopedia), 2019. https://iste-editions.fr/products/optimiseurs-iteratifs.
Li, Xiaodong, and Maurice Clerc. Swarm Intelligence, in Handbook of Metaheuristics. Edited by Michel Gendreau and Jean-Yves Potvin. 3rd ed. International Series in Operations Research & Management Science. Springer International Publishing, 2019./9783319910857.
Clerc, Maurice, "Iterative Optimisation: the Questionable Balance Mantra", Open access archive HAL, December 2018.
Clerc, Maurice. “Total Memory Optimiser: Proof of Concept and Compromises.” International Journal of Swarm Intelligence 3, no. 2/3 (2017).
Omran, Mahamed G. H., and Maurice Clerc. “APS 9: An Improved Adaptive Population-Based Simplex Method for Real-World Engineering Optimization Problems.” Applied Intelligence, August 30, 2017, 1–13. doi:10.1007/s10489-017-1015-z.
Clerc, Maurice. "Particle Swarms", in Metaheuristics, Patrick Siarry Editor, Springer, 2016, 203-228
Omran, Mahamed G. H., and Maurice Clerc. “An Adaptive Population-Based Simplex Method for Continuous Optimization.” International Journal of Swarm Intelligence Research 7, no. 4 (2016): 22–49.
Clerc, Maurice. Guided Randomness in Optimization. ISTE (International Scientific and Technical Encyclopedia), Wiley, 2015.
 http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1848218052.html
Clerc, Maurice. L’aléatoire Contrôlé en Optimisation. ISTE (International Scientific and Technical Encyclopedia), 2015. http://iste-editions.fr/products/l-aleatoire-controle-en-optimisation
Clerc, Maurice. “Simple Generators for List-Based Optimisers”, Open access archive HAL, June 2014.
Clerc, Maurice. “List-Based Optimisers:: Experiments and Open Questions.” International Journal of Swarm Intelligence Research 4, no. 4 (34 2013): 23–38. doi:10.4018/ijsir.2013100102
Simon, Dan, Mahamed G. H. Omran, and Maurice Clerc. “Linearized Biogeography-Based Optimization with Re-Initialization and Local Search.” Information Sciences 267 (mai 2014): 140–157. doi:10.1016/j.ins.2013.12.048.
Bansal, Jagdish Chand, Harish Sharma, Shimpi Singh Jadon, and Maurice Clerc. “Spider Monkey Optimization Algorithm for Numerical Optimization.” Memetic Computing 6, no. 1 (March 1, 2014): 31–47. doi:10.1007/s12293-013-0128-0.
Clerc, M., List Based Optimisers - Experiments and Open Questions, Open access archive HAL, 2013
Zambrano-Bigiarini, M.; Rojas, R. & Clerc, M., Standard Particle Swarm Optimisation 2011 at CEC-2013: A baseline for future PSO improvements Congress on Evolutionary Computation (CEC), 2013
Omran, M. G. H.; al Sharhan, S.; Salman, A. & Clerc, M., Studying the effect of using low-discrepancy sequences to initialize population-based optimization algorithms, Computational Optimization and Applications, , Volume 56, Issue 2, pp 457-480
Clerc. M., Cooperation Mechanisms in Particle Swarm Optimisation, Open access archive HAL, 2013
Clerc, M., Standard Particle Swarm Optimisation, Open access archive HAL, 2012
Clerc, M., List Based PSO for Real Problems, Open access archive HAL, 2012
Clerc, M., Randomness Matters, Open archive HAL, 2012
Blum C., Chiong R., Clerc M., De Jong K., Michalewicz Z., Neri F., and Weise T., Evolutionary Optimization, in Variants of Evolutionary Algorithms for Real-World Applications, 2012, Part 1, 1-29.
El Dor, A.; Clerc, M. & Siarry, P.; A multi-swarm PSO using charged particles in a partitioned search space for continuous optimization Computational Optimization and Applications, Springer Netherlands, vo. 53, 271-295, 2012
Cooren Y., Clerc M., Siarry P., MO-TRIBES, an adaptive multiobjective particle swarm optimization algorithm, Computational Optimization and Applications, Springer Netherlands, 2011, 49, 379-400.
Clerc M.,  Beyond Standard Particle Swarm Optimisation, International Journal of Swarm Intelligence Research, 2010, 4, 46-66.
Clerc M., From Theory to Practice in Particle Swarm Optimization, Handbook on Swarm Intelligence, Vol. 8, pp. 3-36, 2010.
Cooren Y., Clerc M., Siarry P., Performance evaluation of TRIBES, an adaptive particle swarm optimization algorithm Swarm Intelligence, Vol. 3, pp. 149-178, 2009.
Clerc, M. A method to improve Standard PSO, Open access archive HAL, 2009.
Clerc M., Why does it work?, International Journal of Computational Intelligence Research, Vol. 4, pp. 79-91, 2008.
Cooren Y., Clerc M., Siarry P., Initialization and Displacement of the Particles in TRIBES, a Parameter-Free Particle Swarm Optimization Algorithm, Springer, Studies in Computational Intelligence, Vol. 136, pp. 199-219, 2008.
Liu H., Abraham A., Clerc M., Chaotic dynamic characteristics in swarm intelligence, Applied Soft Computing, Volume 7, Issue 3, 1 June 2007, Pages 1019-1026.
Clerc, M., When Nearer is Better, Open access archive HAL, 2007.
Poli R., Langdon W. B., Clerc M., Stephen C. R., Continuous Optimisation Theory Made Easy? Finite-Element Models of Evolutionary Strategies, Genetic Algorithms and Particle Swarm Optimizers, Foundation of Genetic Algorithms (FOGA), Foundations of Genetic Algorithms 9, Springer-Verlag Berlin Heidelberg, 2007, 165-193
Clerc M., Stagnation Analysis in Particle Swarm Optimisation or What Happens When Nothing Happens, University of Essex technical report, Open access archive HAL, 2006.
Poli R., Langdon W. B., Marrow P., Kennedy J., Clerc M., Bratton D., Holden N.: Communication, Leadership, Publicity and Group Formation in Particle Swarm, ANTS Workshop 2006: 132-143
Clerc M., Confinements and Biases in Particle Swarm Optimisation, Open access archive HAL, 2006.
Altman Z., Dubreuil H., Nasri R., Ben Amor O., Picard J.-M., Diascorn V., Clerc M., Auto-tuning of RRM Parameters in UMTS Networks, in Understanding UMTS radio network modelling, planning and automated optimisation: Theory and Practice, Ed.: Nawrocki M., Dohler M., Aghvami A. H.,Publisher: John WIley & Sons, LTD, 2006.
Clerc M., Particle Swarm Optimization, ISTE (2006), 256 pp.
Clerc M.,  Binary Particle Swarm Optimisers: toolbox, derivations, and mathematical insights, Open access archive HAL, 2005.
Clerc M., L'optimisation par essaims particulaires, versions paramétriques et adaptatives, Hermès Science (2005), 288 p.
Clerc M., Siarry, P., "Une nouvelle métaheuristique pour l'optimisation : la méthode des essaims particulaire", J3eA, Vol. 3 (2004).
Onwubolu G. C., Clerc M.,  Optimal operating path for automated drilling operations by a new heuristic approach using Particle Swarm Optimisation, International Journal of Production Research, Vol. 42, n°3, p. 473-491, 2004.
Clerc M., Discrete Particle Swarm Optimization, illustrated by the Traveling Salesman Problem, in New Optimization Techniques in Engineering, Springer, 2004, 219-239.
Zhang W., Liu Y., Clerc M., An adaptive PSO algorithm for reactive power optimization, APSCOM (Advances in Power System Control Operation and Management), S6: Application of Artificial Intelligence Technique (part I), 11-14 November 2003, Hong Kong.
Clerc M., TRIBES - Un exemple d'optimisation par essaim particulaire sans paramètres de réglage, OEP'03 (Optimisation par Essaim Particulaire), Paris, France, 2003.
Clerc M., L'optimisation par essaim particulaire - Principes, modèles et usages, Hermès Science, Technique et Science Informatiques, vol. 21, n° 7, p. 941-964, 2002.
Clerc M., Kennedy J., The particle swarm-explosion, stability, and convergence in a multi-dimensional complex space, IEEE Transactions on Evolutionary Computation, 2002, p. 58-73. (2005 IEEE Transactions on Evolutionary Computation award)
Clerc M., The Swarm and the Queen: Towards a Deterministic and Adaptive Particle Swarm Optimization, Congress on Evolutionary Computation, 1999, Washington D.C., p. 1951-1957.
Clerc M., Logique quantique : commentaires sur l'article de Y. Delmas-Rigoutsos, In Cognito 11/12,  1998, p. 25-26.
Translation into French of the Earl D. Cox's book Fuzzy Logic for Business and Industry (La Logique Floue pour les affaires et l'industrie), 1997.
Clerc M., (ab, in, dé)duction en Représentation Floue Hiérarchique, (Info. In Cognito, 3, Février 1996, p. 2-4) (English version)
Clerc M. , Validité psychologique des représentations floues. (Info. In Cognito, 1, Décembre 1995, p. 3-5) (English version )
Clerc M., Mémoriels, représentations floues et incarnations, Journées Internationales d'Orsay sur les Sciences Cognitives, 1994, p. 211-221.