With the advent of powerful computers and novel mathematical programming techniques, the multidisciplinary field of optimization has advanced to the stage that quite complicated systems can be addressed. The conference was organized to provide a platform for the exchanging of new ideas and information and for identifying areas for future research. The contributions covered both theoretical techniques and a rich variety of case studies to which optimization can be usefully applied.
Interior point methods for semi-infinite calculations, M.J.D. Powell; extending the optimization paradigm in engineering design, P.Y. Papalambros; recent developments in integer programming, G.L. Nemhauser; a computational approach to an optimal control problem with a cost on changing controls, K.L. Teo; stochastic programming - optimizing the uncertain, J.R. Birge; numerical experience with limited-memory quasi-Newton and truncated Newton methods, I.M. Navon; matrix shadow costs for multilinear programmes, B.D. Craven; effective simulation of optimal trajectories in stochastic control, P.E. Kloeden; an optimization approach to power system identification, H.R. Sirisena; recursive interior-point linear programming algorithm based on Lie-Brockett flows, J.B. Moore.
Isaac Elishakoff, Kevin Dujat, Giuseppe Muscolino, Simon Bucas, Toshiaki Natsuki, Chien Ming Wang, Demetris Pentaras, Claudia Versaci, Joel Storch, Noël Challamel, Yingyan Zhang, Guillaume Ghyselinck