1. On the Extension of the DIRECT Algorithm to Multiple Objectives
- Author
-
Kaisa Miettinen and Alberto Lovison
- Subjects
Control and Optimization ,0211 other engineering and technologies ,02 engineering and technology ,Management Science and Operations Research ,Multi-objective optimization ,Set (abstract data type) ,Local optimum ,optimointi ,algoritmit ,Convergence (routing) ,0202 electrical engineering, electronic engineering, information engineering ,multiobjective optimization ,multiple criteria optimization ,Mathematics ,021103 operations research ,Applied Mathematics ,Pareto principle ,DIRECT algorithm ,monitavoiteoptimointi ,Computer Science Applications ,global convergence ,Nonlinear system ,determinantit ,Hausdorff distance ,monimuuttujamenetelmät ,020201 artificial intelligence & image processing ,Heuristics ,deterministic optimization algorithms ,Algorithm - Abstract
Deterministic global optimization algorithms like Piyavskii–Shubert, direct, ego and many more, have a recognized standing, for problems with many local optima. Although many single objective optimization algorithms have been extended to multiple objectives, completely deterministic algorithms for nonlinear problems with guarantees of convergence to global Pareto optimality are still missing. For instance, deterministic algorithms usually make use of some form of scalarization, which may lead to incomplete representations of the Pareto optimal set. Thus, all global Pareto optima may not be obtained, especially in nonconvex cases. On the other hand, algorithms attempting to produce representations of the globally Pareto optimal set are usually based on heuristics. We analyze the concept of global convergence for multiobjective optimization algorithms and propose a convergence criterion based on the Hausdorff distance in the decision space. Under this light, we consider the well-known global optimization algorithm direct, analyze the available algorithms in the literature that extend direct to multiple objectives and discuss possible alternatives. In particular, we propose a novel definition for the notion of potential Pareto optimality extending the notion of potential optimality defined in direct. We also discuss its advantages and disadvantages when compared with algorithms existing in the literature.
- Published
- 2020
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