For ACM-TOMS, we systematically searched all the papers regarding Evolutionary Computation (EC). There have, however, been a very limited number of EC papers until now (i.e., [Irurozki et al., 2018] and [Mei et al., 2016]) and also of Simulated Annealing (often seen as EC's partner) papers (i.e., [Siarry et al., 1997] and [Corana et al., 1987]).
Here we also listed some recent ACM-TOMS papers for black-box optimization (BBO) from the traditional mathematical optimization community, which could be referred to as baseline/competitive algorithms for EC.
Lakhmiri, D., Digabel, S.L. and Tribes, C., 2021. HyperNOMAD: Hyperparameter optimization of deep neural networks using mesh adaptive direct search. ACM Transactions on Mathematical Software, 47(3), pp.1-27. [ www ]
Porcelli, M. and Toint, P.L., 2019. A note on using performance and data profiles for training algorithms. ACM Transactions on Mathematical Software, 45(2), pp.1-10. [ www ]
Cartis, C., Fiala, J., Marteau, B. and Roberts, L., 2019. Improving the flexibility and robustness of model-based derivative-free optimization solvers. ACM Transactions on Mathematical Software, 45(3), pp.1-41. [ www ]
Irurozki, E., Ceberio, J., Santamaria, J., Santana, R. and Mendiburu, A., 2018. Algorithm 989: Perm_mateda: A matlab toolbox of estimation of distribution algorithms for permutation-based combinatorial optimization problems. ACM Transactions on Mathematical Software, 44(4), pp.1-13. [ www ]
Porcelli, M. and Toint, P.L., 2017. BFO, A trainable derivative-free brute force optimizer for nonlinear bound-constrained optimization and equilibrium computations with continuous and discrete variables. ACM Transactions on Mathematical Software, 44(1), pp.1-25. [ www ]
Gould, N. and Scott, J., 2016. A note on performance profiles for benchmarking software. ACM Transactions on Mathematical Software, 43(2), pp.1-5. [ www ]
Mei, Y., Omidvar, M.N., Li, X. and Yao, X., 2016. A competitive divide-and-conquer algorithm for unconstrained large-scale black-box optimization. ACM Transactions on Mathematical Software, 42(2), pp.1-24. [ www ]
Siarry, P., Berthiau, G., Durdin, F. and Haussy, J., 1997. Enhanced simulated annealing for globally minimizing functions of many-continuous variables. ACM Transactions on Mathematical Software, 23(2), pp.209-228. [ www ]
Corana, A., Marchesi, M., Martini, C. and Ridella, S., 1987. Minimizing multimodal functions of continuous variables with the “simulated annealing” algorithm. ACM Transactions on Mathematical Software, 13(3), pp.262-280. [ www | Corrigenda ]