| 99 | -- | 110 | Yew-Soon Ong, Andy J. Keane. Meta-Lamarckian learning in memetic algorithms |
| 111 | -- | 126 | John C. Gallagher, Saranyan Vigraham, Gregory R. Kramer. A family of compact genetic algorithms for intrinsic evolvable hardware |
| 127 | -- | 136 | Qingfu Zhang, Heinz Mühlenbein. On the convergence of a class of estimation of distribution algorithms |
| 137 | -- | 155 | Neal K. Bambha, Shuvra S. Bhattacharyya, Jürgen Teich, Eckart Zitzler. Systematic integration of parameterized local search into evolutionary algorithms |
| 156 | -- | 169 | Kuk-Hyun Han, Jong-Hwan Kim. Quantum-inspired evolutionary algorithms with a new termination criterion, H::epsilon:: gate, and two-phase scheme |
| 170 | -- | 182 | Marco Laumanns, Lothar Thiele, Eckart Zitzler. Running time analysis of multiobjective evolutionary algorithms on pseudo-Boolean functions |
| 183 | -- | 196 | Durga Prasad Muni, Nikhil R. Pal, Jyotirmay Das. A novel approach to design classifiers using genetic programming |