Evolution strategy optimisation

J. Knowles and D. Come. The Pareto Archived Evolution Strategy A new baseline algorithm for Pareto multiobjective optimisation. In Proceedings of the 1999 Congress on Evolutionary Computation, pages 98-105, 1999. 

In terms of dealing with multi-objective problems, many different types of GA have been proposed, for example, vector-optimised evolution strategy, weight-based GA, niched-Pareto GA, predator-prey evolution strategy, Rudolph s elitist multi-objective evolutionary algorithm and distance-based Pareto AG. However, there is probably... 

In nature, the evolution of molecules with desired properties may be regarded as a combinatorial optimisation strategy to find solutions in a search space of unlimited size and diversity. Thus, the number of all possible, different proteins comprising only 200 amino acids is 20200, a number that is much larger than the number of particles in the universe (estimated to be in the range of 1088). Similarly, the number of different... 

Stochastic deteriorationmodels handle the uncertain evolution of deterioration over time. Various stochastic processes have been used to describe the deterioration processes (see e.g. AlanuUa Sosa (2008), Kallen (2007), Kallen Noortwijk (2005) andNicolai (2008)). These models enable optimisation strategies however, a weakness of the models is that they do not explicitly model the influencing factors which are the reasons for the variation in the deterioration. 

---