no code implementations • 11 Oct 2023 • Majid Namazi, M. A. Hakim Newton, Conrad Sanderson, Abdul Sattar
In TTP, city selection and item selection decisions need close coordination since the thief's travelling speed depends on the knapsack's weight and the order of visiting cities affects the order of item collection.
no code implementations • 14 May 2020 • Majid Namazi, Conrad Sanderson, M. A. Hakim Newton, Abdul Sattar
The TSP solution (cyclic tour) is typically changed in a deterministic way, while changes to the KP solution typically involve a random search, effectively resulting in a quasi-meandering exploration of the TTP solution space.
no code implementations • 8 Nov 2019 • Majid Namazi, Conrad Sanderson, M. A. Hakim Newton, Abdul Sattar
A thief performs a cyclic tour through a set of cities, and pursuant to a collection plan, collects a subset of items into a rented knapsack with finite capacity.
no code implementations • 19 Jul 2019 • Abdul Karim, Jaspreet Singh, Avinash Mishra, Abdollah Dehzangi, M. A. Hakim Newton, Abdul Sattar
Prediction of toxicity levels of chemical compounds is an important issue in Quantitative Structure-Activity Relationship (QSAR) modeling.
no code implementations • 26 Jan 2019 • Abdul Karim, Avinash Mishra, M. A. Hakim Newton, Abdul Sattar
Lately, it achieved significant progress in accuracy but using a huge set of features, implementing a complex blackbox technique such as a deep neural network, and exploiting enormous computational resources.
no code implementations • 25 Jun 2018 • Majid Namazi, Conrad Sanderson, M. A. Hakim Newton, M. M. A. Polash, Abdul Sattar
The well-known Late Acceptance Hill Climbing (LAHC) search aims to overcome the main downside of traditional Hill Climbing (HC) search, which is often quickly trapped in a local optimum due to strictly accepting only non-worsening moves within each iteration.
no code implementations • 15 Nov 2013 • Mahmood A. Rashid, M. A. Hakim Newton, Md. Tamjidul Hoque, Abdul Sattar
In this paper, we develop a genetic algorithm that mainly uses a high resolution energy model for protein structure evaluation but uses a low resolution HP energy model in focussing the search towards exploring structures that have hydrophobic cores.
no code implementations • 31 Oct 2013 • Swakkhar Shatabda, M. A. Hakim Newton, Duc Nghia Pham, Abdul Sattar
Protein structure prediction based on Hydrophobic-Polar energy model essentially becomes searching for a conformation having a compact hydrophobic core at the center.