The swarm and the queen: towards a deterministic and adaptive particle swarm optimization. - Maurice Clerc (CEC, 1999)

The particle swarm - explosion, stability, and convergence in a multidimensional complex space. - Maurice Clerc; James Kennedy (IEEE Trans. Evol. Comput., 2002)

L'optimisation par essaim particulaire. - Maurice Clerc (Tech. Sci. Informatiques, 2002)

Communication, Leadership, Publicity and Group Formation in Particle Swarms. - Riccardo Poli; William B. Langdon; Paul Marrow; James Kennedy; Maurice Clerc; Daniel Bratton; Nicholas Holden (ANTS Workshop, 2006)

Continuous Optimisation Theory Made Easy? Finite-Element Models of Evolutionary Strategies, Genetic Algorithms and Particle Swarm Optimizers. - Riccardo Poli; William B. Langdon; Maurice Clerc; Christopher R. Stephens (FOGA, 2007)

Chaotic dynamic characteristics in swarm intelligence. - Hongbo Liu 001; Ajith Abraham; Maurice Clerc (Appl. Soft Comput., 2007)

Initialization and Displacement of the Particles in TRIBES, a Parameter-Free Particle Swarm Optimization Algorithm. - Yann Cooren; Maurice Clerc; Patrick Siarry (Adaptive and Multilevel Metaheuristics, 2008)

Performance evaluation of TRIBES, an adaptive particle swarm optimization algorithm. - Yann Cooren; Maurice Clerc; Patrick Siarry (Swarm Intell., 2009)

Beyond Standard Particle Swarm Optimisation. - Maurice Clerc (Int. J. Swarm Intell. Res., 2010)

MO-TRIBES, an adaptive multiobjective particle swarm optimization algorithm. - Yann Cooren; Maurice Clerc; Patrick Siarry (Comput. Optim. Appl., 2011)

Evolutionary Optimization. - Christian Blum 001; Raymond Chiong; Maurice Clerc; Kenneth A. De Jong; Zbigniew Michalewicz; Ferrante Neri; Thomas Weise 001 (Variants of Evolutionary Algorithms for Real-World Applications, 2012)

Hybridization of Differential Evolution and Particle Swarm Optimization in a New Algorithm: DEPSO-2S. - Abbas El Dor; Maurice Clerc; Patrick Siarry (ICAISC (SIDE-EC), 2012)

A multi-swarm PSO using charged particles in a partitioned search space for continuous optimization. - Abbas El Dor; Maurice Clerc; Patrick Siarry (Comput. Optim. Appl., 2012)

Standard Particle Swarm Optimisation 2011 at CEC-2013: A baseline for future PSO improvements. - Mauricio Zambrano-Bigiarini; Maurice Clerc; Rodrigo Rojas-Mujica (IEEE Congress on Evolutionary Computation, 2013)

Studying the effect of using low-discrepancy sequences to initialize population-based optimization algorithms. - Mahamed G. H. Omran; Salah Al-Sharhan; Ayed A. Salman; Maurice Clerc (Comput. Optim. Appl., 2013)

List-Based Optimisers: Experiments and Open Questions. - Maurice Clerc (Int. J. Swarm Intell. Res., 2013)

A Fuzzy-Controlled Comprehensive Learning Particle Swarm Optimizer. - Mahamed G. H. Omran; Maurice Clerc; Ayed A. Salman; Salah Al-Sharhan (ICSIBO, 2014)

Particle swarm optimization for Mobility Load Balancing SON in LTE networks. - Zwi Altman; Soumaya Sallem; Ridha Nasri; Berna Sayraç; Maurice Clerc (WCNC Workshops, 2014)

Linearized biogeography-based optimization with re-initialization and local search. - Dan Simon; Mahamed G. H. Omran; Maurice Clerc (Inf. Sci., 2014)

Spider Monkey Optimization algorithm for numerical optimization. - Jagdish Chand Bansal; Harish Sharma; Shimpi Singh Jadon; Maurice Clerc (Memetic Comput., 2014)

Dynamic cluster in particle swarm optimization algorithm. - Abbas El Dor; David Lemoine; Maurice Clerc; Patrick Siarry; Laurent Deroussi; Michel Gourgand (Nat. Comput., 2015)

Total Memory Optimiser: Proof of Concept and Compromises. - Maurice Clerc (ICSIBO, 2016)

An Adaptive Population-based Simplex Method for Continuous Optimization. - Mahamed G. H. Omran; Maurice Clerc (Int. J. Swarm Intell. Res., 2016)

Improving the performance of comprehensive learning particle swarm optimizer. - Ayed A. Salman; Mahamed G. H. Omran; Maurice Clerc; Salah Al-Sharhan (J. Intell. Fuzzy Syst., 2016)

APS 9: an improved adaptive population-based simplex method for real-world engineering optimization problems. - Mahamed G. H. Omran; Maurice Clerc (Appl. Intell., 2018)

A modified Intellects-Masses Optimizer for solving real-world optimization problems. - Mahamed G. H. Omran; Salah Al-Sharhan; Maurice Clerc (Swarm Evol. Comput., 2018)

Laplace's rule of succession: a simple and efficient way to compare metaheuristics. - Mahamed Ghasib Hussein Omran; Maurice Clerc (Neural Comput. Appl., 2023)

Ensemble of simple optimizers. - Mahamed G. H. Omran; Ayed A. Salman; Maurice Clerc (Memetic Comput., 2025)