Heuristic strategy

Because the heuristic strategy explores possible general theories, it may appear explanatorily weak. However, how possibly explanations are characteristic of evolutionary biology (Brandon, 1990). 

For this heuristic strategy to be appropriate, the key conditions are as follows ... 

The heuristic strategy of modulating finally reduces space S/HS/I to 5 dimensions corresponding to the activity variable completed by these 4 structural variables A A f C/> selected as the most significant. The optimal Topo-Information relationship whose statistical criteria = 0.99, F = 181,5 0.08. are excellent (Figure 5.12), describes the glucuronic acid conjugation capacity as precisely as experimentation. 

Building explicitly on Polya s theory, Schoenfeld (1985) outlined his own attempts to implement it in the college classroom. He points out three major obstacles to success the need for more detail about the heuristic strategies to be used, the students lack of rigorous training in how to use the strategies, and the students lack of sufficient prior knowledge (1985, p. 47). All of these are equally critical under the schema theoretic approach. 

Yuval, D., Genetic Algorithms and Robotics a heuristic strategy for Optimisation. 

Using the conflict-free allocation as guideline, a set of resource allocations ai,...,afc is specified either by the user manually or by the system automatically. Hebe supports both exact and heuristic strategies to explore the design space they are summarized below. 

For some designs, exact exploration of the design space may be prohibitive due to its size. Hebe also supports heuristic strategies to explore the design space, where the resulting implementation is no longer guaranteed to be optimal. 

The two factors in the control cost, synchronization and offset costs, are tightly coupled. The reduction of one may result in the increase of the other. Furthermore, a globally minimum solution does not necessarily imply minimum values in both synchronization and offset control costs. Since simultaneous minimization of both factors may be computationally hard to solve exactly, we use the following heuristic strategy. This strategy is based on the observation that non-prime anchors can always be made redundant, and that a prime anchor of a vertex can be made non-prime by s ializing it with respect to another prime anchor. 

Y. Davidor, Genetic Algorithms and Robotics A heuristic strategy for optimization, World Sdentrfic Publishing, London, 1991, vol. 1. 

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