All Outputs (4)

A Stream X-Machine tool for modelling and generating test cases for chronic diseases based on state-counting approach (2021)
Journal Article
Phung, K., Jayatilake, D., Ogunshile, E., & Aydin, M. (2021). A Stream X-Machine tool for modelling and generating test cases for chronic diseases based on state-counting approach. Programming and Computer Software, 47(8), 765-777. https://doi.org/10.1134/S0361768821080211

In the biomedical domain, diagrammatical models have been extensively used to describe and understand the behaviour of biological organisms (biological agents) for decades. Although these models are simple and comprehensive, they can only offer a sta... Read More about A Stream X-Machine tool for modelling and generating test cases for chronic diseases based on state-counting approach.

Adaptive operator selection with reinforcement learning (2021)
Journal Article
Durgut, R., Aydin, M. E., & Atli, I. (2021). Adaptive operator selection with reinforcement learning. Information Sciences, 581, 773-790. https://doi.org/10.1016/j.ins.2021.10.025

Operator selection plays a crucial role in the efficiency of heuristic-based problem solving algorithms, especially, when a pool of operators is used to let algorithms dynamically select operators to produce new candidate solutions. A sequence of sel... Read More about Adaptive operator selection with reinforcement learning.

Adaptive binary artificial bee colony for multi-dimensional knapsack problem (2021)
Journal Article
Durgut, R., & Aydın, M. E. (2021). Adaptive binary artificial bee colony for multi-dimensional knapsack problem. Journal of Gazi University Faculty of Engineering and Architecture, 36(4), 2333-2348. https://doi.org/10.17341/gazimmfd.804858

Purpose: The purpose of the study is to investigate how to solve for multi-dimensional knapsack problems better with higher robustness using binary artificial bee colony algorithms. Theory and Methods: The efficiency and effectiveness of metaheuristi... Read More about Adaptive binary artificial bee colony for multi-dimensional knapsack problem.

Solving set union knapsack problems with adaptive binary artificial bee colony (2021)
Journal Article
Durgut, R., Yavuz, İ., & Aydin, M. (2021). Solving set union knapsack problems with adaptive binary artificial bee colony. Journal of Intelligent Systems: Theory and Applications, 4(1), 43-54. https://doi.org/10.38016/jista.854584

Meta-heuristic and swarm intelligence algorithms have long been used to provide approximate solutions to NP-Hard optimization problems. Especially when it comes to combinatorial and binary problems, operator functions used to generate neighbor soluti... Read More about Solving set union knapsack problems with adaptive binary artificial bee colony.