نتایج جستجو برای: evolutionary search
تعداد نتایج: 408401 فیلتر نتایج به سال:
This study proposes a modified version of cultural algorithms (CAs) which benefits from rule-based system for influence function. This rule-based system selects and applies the suitable knowledge source according to the distribution of the solutions. This is important to use appropriate influence function to apply to a specific individual, regarding to its role in the search process. This rule ...
Optimizing the database queries is one of hard research problems. Exhaustive search techniques like dynamic programming is suitable for queries with a few relations, but by increasing the number of relations in query, much use of memory and processing is needed, and the use of these methods is not suitable, so we have to use random and evolutionary methods. The use of evolutionary methods, beca...
optimizing the database queries is one of hard research problems. exhaustive search techniques like dynamic programming is suitable for queries with a few relations, but by increasing the number of relations in query, much use of memory and processing is needed, and the use of these methods is not suitable, so we have to use random and evolutionary methods. the use of evolutionary methods, beca...
this paper proposes the exchange market algorithm (ema) to solve the combined economic and emission dispatch (ceed) problems in thermal power plants. the ema is a new, robust and efficient algorithm to exploit the global optimum point in optimization problems. existence of two seeking operators in ema provides a high ability in exploiting global optimum point. in order to show the capabilities ...
Abstract To accelerate the performance estimation in neural architecture search, recently proposed algorithms adopt surrogate models to predict of architectures instead training network from scratch. However, it is time-consuming collect sufficient labeled for model training. enhance capability using a small amount data, we propose surrogate-assisted evolutionary algorithm with embedding search...
Neural architecture search (NAS) has seen significant attention throughout the computational intelligence research community and pushed forward state-of-the-art of many neural models to address grid-like data such as texts images. However, little work been done on Graph Network (GNN) dedicated unstructured network data. Given huge number choices combinations components aggregators activation fu...
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