Group-buying ads seeking a minimum number of customers before the deal expiry are increasingly used by the daily-deal providers. Unlike the traditional web ads, the advertiser’s profits for group-buying ads depends on the time to expiry and additional customers needed to satisfy the minimum group size. Since both these quantities are time-dependent, optimal bid amounts to maximize profits chang...

in the restructured environment of electricity market, firstly the generating companies and the customers are looking for maximizing their profit and secondly independent system operator is looking for the stability of the power network and maximizing social welfare. in this paper, a one way auction in the electricity market for the generator companies is considered in both perfect and imperfec...

The risk-neutral equilibrium bidding strategy for first-price auctions with independent private values is justified without assuming a well-defined Bayesian game. Bidders, aware of their own value, assume the private values to be linearly related. The latter, however, are independent and identically distributed, and this is only known by Nature. Allowing for arbitrary linear common value belief...

In this paper, we study first-price sealed-bid procurement auctions for divisible items. The auctions are divided into two cases: the auctioneer either does or does not compensate for an oversupply of the quantity purchased. The bidding behaviors of bidders are modeled, and then the optimal bidding strategy for bidders is obtained. It is shown that the bidder’s bidding price exists and is incre...

In a course bidding system, there are more students than the number of available seats for course. To enroll course, have to bid using their tokens and system will fill up with top bidders. Since limit tokens, they allocate wisely. this paper, we apply genetic algorithm search best way such that it maximizes probability successful enrollment. estimate probability, train logistic regression on r...

The optimal bidding strategy for a generation company is a complex decision making problem involving numerous uncertainties. Generally, all market participants attempt to refine their strategies to earn greater profit. Success in the market requires not only successful forecasting of demand and other market conditions but also anticipating rival behaviours. The main objective of this paper is t...

In an agent-based online auction system, a bidding agent can automatically place bids on behalf of a human user according to a user-specified bidding strategy. Current implementations of bidding agents only support a set of simple predefined bidding strategies. In this paper, we introduce a formal bidding strategy model that supports specification of complex bidding strategies for autonomous bi...