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Online auctions play an important role in today’s e-commerce for procuring goods. The proliferation of online auctions has caused the increasing need to monitor and track multiple bids in multiple auctions. An autonomous agent that exploits a heuristic decision making framework was developed to tackle the problem of bidding across multiple auctions with varying start and end time and with varying...
This paper describes a rule-based sentiment analysis algorithm for polarity classification of financial news articles. The system utilizes a prior polarity lexicon to classify the financial news articles into positive or negative. Sentiment composition rules are used to determine the polarity of each sentence in the news article, while the Positivity/Negativity ratio (P/N ratio) is used to calculate...
The large volume of online and offline information that is available today has overwhelmed users' efficiency and effectiveness in processing this information in order to extract relevant information. The exponential growth of the volume of internet information complicates the process of accessing and retrieving relevant information. Thus, it is a very time consuming and complex task for user in accessing...
A number of studies have demonstrated the capability of ANNs for the required robot behaviors by using an evolutionary optimization technique in generating more complex robot controllers. Interestingly however, there is still a serious lack of research in exploring the application of Evolutionary Multi-objective Optimization (EMO) algorithm in evolutionary robotics. In this paper, we investigate the...
The proliferation of online auctions has caused the increasing need to monitor and track multiple bids in multiple auctions. As a solution to the problem, an autonomous agent was developed to work in a flexible and configurable heuristic decision making framework that can tackle the problem of bidding across multiple auctions that apply different protocols (English, Vickrey and Dutch). Due to the...
This paper investigates the application of self-adaptation genetic algorithm on a flexible and configurable heuristic decision making framework that can tackle the problem of bidding across multiple auctions that apply different protocols (English, Vickrey and Dutch) by using an autonomous agent to search for the most effective strategies (offline). Our study shows that self-adaptation genetic algorithm...
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