a r t i c l e i n f o Keywords: Artificial intelligence Optimization Project management Cost estimation Bid award amount Regression analysis Artificial neural network Case-based reasoning Genetic algorithm Bridges are essential components of transportation systems. The bidding process is the main determinant of whether a contractor is commissioned to complete a construction project. Therefore, ...

In recent years, researchers started to study the game of Skat. The strength of existing Skat playing programs is definitely the card play phase. The bidding phase, however, has been treated quite poorly so far. This is a severe drawback since bidding abilities influence the overall playing performance drastically. In this paper we present a powerful bidding engine which is based on a k-nearest...

While there is an ever increasing adoption of e-sourcing, where the buyer auctions procurement contracts to a small group of pre-qualified suppliers, a critical question to its sustainability remains: Does it damage long-term buyer-supplier relationships? We explore this question by developing a conceptual model of non-price attributes, bidding behavior and auction outcome. We examine in detail...

To support a freight carrier in a combinatorial transport auction, we proposes an exact and two heuristic strategies for bidding on subsets of requests. The exact bidding strategy is based on the concept of elementary request combinations. We show that it is sufficient and necessary for a carrier to bid on each elementary request combination in order to guarantee the same result as bidding on e...

This paper proposes a novel optimization algorithm Varying Population based Bacterial Foraging Algorithm (VPBFA), to solve optimal bidding strategy in a pool based electricity market. In a power market, Generating Companies (suppliers) participate in the bidding process in order to maximize their profits. Each supplier bid strategically for choosing the bidding coefficients to counter the compe...

eBay is the largest and most widely known of many internet auction sites designed to connect buyers and sellers around the world. An eBay auction consists of a set bidding period during which individuals submit “maximum bids” for an item. The winner the auction is the individual with the highest bid, and the price is equal to the second highest bid, plus a small bidding increment. This system i...

Design and implementation of classification algorithm in data mining prototype system is described in this paper. This function analyzes a set of training data, constructs a model for each class based on the features in the data, and adjusts the model based on the test data. The architecture of data mining prototype system is defined and the algorithms including ID3,C4.5,SLIQ and Bayesian is di...

demand response (dr) has many beneficiaries in the electricity market. there are independent players who are interested in dr, which include: transmission system owners, distributors, retailers, and aggregators. in this paper dr is introduced as a tradable commodity that can be exchanged between dr buyers and sellers in a pool-based market which is called demand response exchange (drx). drx ope...

This paper presents a novel approach for evaluating impacts of price-sensitive loads on electricity price and market power. To accomplish this aim an analytical method along with agent-based computational economics are used. At first, Nash equilibrium is achieved by computational approach of Q-learning then based on the optimal bidding strategies of GenCos, which are figured out by Q-learning, ...

Bidding optimization is one of the most critical problems in online advertising. Sponsored search (SS) auction, due to the randomness of user query behavior and platform nature, usually adopts keyword-level bidding strategies. In contrast, the display advertising (DA), as a relatively simpler scenario for auction, has taken advantage of real-time bidding (RTB) to boost the performance for adver...