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The subspaces and are considered as the state and decision spaces, respectively.
Among these algorithms, the electromagnetism-like mechanism (EM) is a powerful population-based algorithm designed for continuous decision spaces.
At the meta-layer, first, a fusion space is constructed by aggregating decision spaces of all the base-layer classifiers.
Each level of bi-level model has its objectives and decision spaces affected by variables controlled at another level.
PSO is a population-based meta-heuristic algorithm inspired by the social behavior of the biological swarms that is designed for continuous decision spaces.
Using the concept of "decision spaces", it is possible to show the relationship between these power generation decision contexts and more general decision making associated with process design.
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The decision space is denoted by.
This function considers a two-dimensional decision space.
Let and be real Banach spaces, the state space, and the decision space.
The ultimate decision space may then be specified in terms of an application specific design space.
A policy g : S → G represents a mapping method from state space to decision space.
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