- Jian G., Yiqi L., Minghao L., et al., 2022. Improving Simulated Annealing for Clique Partitioning Problems. Journal of Artificial Intelligence Research, 74, pp.1485-1513. [ www | pdf ] (SA)
- Yoshihiko 0., Yuki T., Shuhei W., et al., 2022.Multiobjective Tree-Structured Parzen Estimator. Journal of Artificial Intelligence Research, 73, pp.1209-1250. [ www | pdf ] (MOBO)
-
- Syrine B., Aryan D. and Janardhan R. D., 2021. Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization. Journal of Artificial Intelligence Research, 72, PP.667-715. [ www | (pdf)[https://www.jair.org/index.php/jair/article/view/12966/26734] ] (MOBO)
- Cedric C., Boris H., Sebastien. R., et al., 2021. EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models. Journal of Artificial Intelligence Research, 71, pp.479-519. [ www | pdf ]
- Dimiitrios, D., 2021. On the Evolvability of Monotone Conjunctions with an Evolutionary Mutation Mechanism. Journal of Artificial Intelligence Research, 70, pp.891-921. [ www | pdf ]
- Artem K., David C. and Petre J., 2020. Representing Fitness Landscapes by Valued Constraints to Understand the Complexity of Local Search. Journal of Artificial Intelligence Research, 69, pp.1077-1102. [ www | pdf ] (Local search)
- Andrei L., Pietro. S. 0., 2019. On the Time and Space Complexity of Genetic Programming for Evolving Boolean Conjunctions. Journal of Artificial Intelligence Research, 66, pp.655-689. [ www | pdf ] (GP)
- D. Ortiz-Boyer, C. Hervás-Martínez and N. García-Pedrajas, 2005. CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features. Journal of Artificial Intelligence Research, 24, pp.1-48. [ www | pdf ]
- Stanley, K.O. and Miikkulainen, R., 2004. Competitive coevolution through evolutionary complexification. Journal of Artificial Intelligence Research, 21, pp.63-100. [ www | pdf ] ( CMEA )
- K. C. Tan, E. F. Khor, T. H. Lee, et ql., 2003. An Evolutionary Algorithm with Advanced Goal and Priority Specification for Multi-objective Optimization. Journal of Artificial Intelligence Research, 18, pp.183-215. [ www | pdf ] (EA)
- D. E. Moriarty, A. C. Schultz and J. J. Grefenstette, 1999. Evolutionary Algorithms for Reinforcement Learning. Journal of Artificial Intelligence Research, 11, pp.241-276. [ www | pdf ]
- Di Caro, G. and Dorigo, M., 1998. AntNet: Distributed stigmergetic control for communications networks. Journal of Artificial Intelligence Research, 9, pp.317-365. [ www | pdf ] ( ACO )