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Computer aided drug discovery is a field where recent advances in technology are expected to impact in a significant way the traditional process of drug development. In this paper, an integer differential evolution (IDE) algorithm for De novo drug design is proposed. The aim is to find small molecules that are complementary in shape and charge to a reference molecule by making connections between...
Parameter identification of a photovoltaic (PV) cell is essential to simulate the behavior and to optimize the different characteristics of the PV generator. Therefore, the prediction of the PV system behavior will be possible; this allows a better energy management and a good operation reliability. There are several models that express the physical behavior of a PV cell to reproduce well the I-V...
In this paper a new variant of the artificial bee colony algorithm is proposed. It is a known fact that any good optimization algorithm requires a good balance between exploring and exploiting prominent regions of the search space. To this end, several modifications of the artificial bee colony basic algorithm are introduced in the proposed version. The efficiency of the algorithm is evaluated against...
This paper presents a predator-prey model that is the key element of ecological systems. We present the results of coevolving artificial creatures of two species (predator and prey) in a 3D physically simulated environment. The evolutionary process uses the physical properties of virtual creatures and two opposite fitness functions to drive the process to the behaviors we are looking for. Our best-evolved...
In this paper, hybridization between two artificial intelligence techniques is proposed for the control of inverted pendulum. The controller combines a genetic algorithms technique optimization with fuzzy logic controller. We employ this procedure in a genetic algorithm (GA) to search for the optimal parameters (gains) of fuzzy logic controller. Numerical simulations verify the validity of the proposed...
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