Novel binary differential evolution algorithm based on Taper-shaped transfer functions for binary optimization problems

Y He, F Zhang, S Mirjalili, T Zhang - Swarm and Evolutionary Computation, 2022 - Elsevier
In order to efficiently solve the binary optimization problems by using differential evolution
(DE), a class of new transfer functions, Taper-shaped transfer function, is firstly proposed by …

Robust optimization for energy-aware cryptocurrency farm location with renewable energy

R Lotfi, SG Zare, A Gharehbaghi, S Nazari… - Computers & Industrial …, 2023 - Elsevier
The cryptocurrency industry has changed the human life and accelerated financial
exchange in this decade. Many investors want to invest in this industry and establish …

Binary aquila optimizer for 0–1 knapsack problems

E Baş - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
The optimization process entails determining the best values for various system
characteristics in order to finish the system design at the lowest possible cost. In general …

A fast and efficient discrete evolutionary algorithm for the uncapacitated facility location problem

F Zhang, Y He, H Ouyang, W Li - Expert Systems with Applications, 2023 - Elsevier
In order to solve the uncapacitated facility location problem (UFLP) quickly and effectively,
an enhanced group theory-based optimization algorithm (EGTOA) is proposed in this paper …

A two-stage scheduler based on New Caledonian Crow Learning Algorithm and reinforcement learning strategy for cloud environment

BMH Zade, N Mansouri, MM Javidi - Journal of Network and Computer …, 2022 - Elsevier
Most studies on task scheduling in the cloud consider at most two or three objectives and
hence the main motivation of this paper is to design the task scheduling problem by …

Binbro: Binary battle royale optimizer algorithm

T Akan, S Agahian, R Dehkharghani - Expert Systems with Applications, 2022 - Elsevier
Stochastic methods attempt to solve problems that cannot be solved by deterministic
methods with reasonable time complexity. Optimization algorithms benefit from stochastic …

Improved social spider algorithm for partial disassembly line balancing problem considering the energy consumption involved in tool switching

W Liang, Z Zhang, Y Zhang, P Xu… - International Journal of …, 2023 - Taylor & Francis
As the waste products have a variety of connection structure characteristics, the energy
consumed in tool switching in the disassembly process is considered to better …

A binary tree seed algorithm with selection-based local search mechanism for huge-sized optimization problems

M Karakoyun, A Ozkis - Applied Soft Computing, 2022 - Elsevier
Tree seed algorithm (TSA) is a recently proposed metaheuristic algorithm for solving
continuous optimization problems. In order to use TSA in binary optimization problems, the …

[HTML][HTML] An adaptive parallel evolutionary algorithm for solving the uncapacitated facility location problem

E Sonuç, E Özcan - Expert Systems with Applications, 2023 - Elsevier
Metaheuristics, providing high level guidelines for heuristic optimisation, have successfully
been applied to many complex problems over the past decades. However, their …

An energy-aware service placement strategy using hybrid meta-heuristic algorithm in iot environments

Y Hu, T Huang, Y Yu, Y An, M Cheng, W Zhou… - Cluster Computing, 2023 - Springer
Today, increasing communication of Internet of Things (IoT) devices, wearable sensors,
healthcare applications and cloud providers provides power and energy consumption for …