A Heuristic Bidding Strategy for Buying Multiple Goods in Multiple English Auctions.
This paper presents the design, implementation, and evaluation of a novel bidding algorithm that a software agent can use to obtain multiple goods from multiple overlapping English auctions.
Adam Prügel-bennett +6 more
core +1 more source
SBOA: A Novel Heuristic Optimization Algorithm
A new human-based heuristic optimization method, named the Snooker-Based Optimization Algorithm (SBOA), is introduced in this study. The inspiration for this method is drawn from the traits of sales elites—those qualities every salesperson aspires to ...
Qi Diao +4 more
doaj +1 more source
A smart privacy preserving framework for industrial IoT using hybrid meta-heuristic algorithm. [PDF]
Kumar M +6 more
europepmc +1 more source
A Lin-Kernighan Heuristic for Single Row Facility Layout [PDF]
The single row facility layout problem (SRFLP) is the problem of arranging facilities with given lengths on a line, while minimizing the weighted sum of the distances between all pairs of facilities. The problem is known to be NP-hard.
Kothari, Ravi, Ghosh, Diptesh
core
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
A Novel Channel Estimation Framework in MIMO Using Serial Cascaded Multiscale Autoencoder and Attention LSTM with Hybrid Heuristic Algorithm. [PDF]
Manasa BMR +5 more
europepmc +1 more source
An optimizing heuristic algorithm for schedule table of FF system
FF is one of the most important Fieldbus by their character of adopting schedule table to control the real-time communication of remote messages. In this paper, to improve the performance of aperiodic message transfers, an algorithm is proposed to ...
Yu HB(于海斌) +3 more
core
Learning regime‐dependent governing equations: A symbolic decision tree approach
Abstract Many chemical engineering systems are governed by mechanisms that switch across operating regimes, making the data‐driven discovery of regime‐dependent governing equations essential for predictive modeling, optimization, and control. We propose symbolic decision trees for the data‐driven discovery of regime‐dependent governing equations.
Ilias Mitrai +2 more
wiley +1 more source
Optimization of neural-network model using a meta-heuristic algorithm for the estimation of dynamic Poisson's ratio of selected rock types. [PDF]
Waqas U +3 more
europepmc +1 more source
Heuristic estimates in shortest path algorithms [PDF]
Shortest path problems occupy an important position in Operations Research aswell as in Arti¯cial Intelligence. In this paper we study shortest path algorithms thatexploit heuristic estimates. The well-known algorithms are put into one framework.Besides
Pijls, W.H.L.M.
core

