Fuzzy mathematical programming and self-adaptive artificial fish swarm algorithm for just-in-time energy-aware flow shop scheduling problem with outsourcing option

EB Tirkolaee, A Goli, GW Weber - IEEE transactions on fuzzy …, 2020 - ieeexplore.ieee.org
Flow shop scheduling (FSS) problem constitutes a major part of production planning in
every manufacturing organization. It aims at determining the optimal sequence of processing …

Application of type-2 fuzzy logic to a multiobjective green solid transportation–location problem with dwell time under carbon tax, cap, and offset policy: fuzzy versus …

SK Das, SK Roy, GW Weber - IEEE Transactions on Fuzzy …, 2020 - ieeexplore.ieee.org
We are observing more often extreme climate incidents because of global warming. There is
a dire requirement for governments, enterprises, the overall population, and academics to …

[HTML][HTML] Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands

P Wang, D Wang, C Zhu, Y Yang, HM Abdullah… - Energy Reports, 2020 - Elsevier
The high growth of the automotive industry reveals the very bright future of this technology
and its high penetration effects on the human society. No doubt that the random and volatile …

Assessment of composite beam performance using GWO–ELM metaheuristic algorithm

R Ma, M Karimzadeh, A Ghabussi, Y Zandi… - Engineering with …, 2021 - Springer
Composite beams (CBs) include concrete slabs jointed to the steel parts by the shear
connectors, which highly popular in modern structures such as high rise buildings and …

A new bat algorithm based on a novel topology and its convergence

C Wang, W Song, P Shen - Journal of Computational Science, 2023 - Elsevier
The basic bat algorithm (BA) is a swarm intelligent algorithm, which simulates the
echolocation behavior of micro bats. Although BA is easy to implement and efficient in …

Implementation and optimal sizing of TCSC for the solution of reactive power planning problem using quasi-oppositional salp swarm algorithm

S Raj, S Mahapatra, CK Shiva… - International Journal of …, 2021 - igi-global.com
In this article, innovative algorithms named as salp swarm algorithm (SSA) and hybrid quasi-
oppositional SSA (QOSSA) techniques have been proposed for finding the optimal …

[PDF][PDF] On the optimization of building energy, material, and economic management using soft computing

Z Wei, Y Zandi, M Gholizadeh, A Selmi… - Advances in concrete …, 2021 - academia.edu
This paper provides energy and economic analysis relevant to the cooling season in
building enclosures. For a whole year, an Energy Plus thermal transfer model has been …

Neighborhood centroid opposite-based learning Harris Hawks optimization for training neural networks

C Fan, Y Zhou, Z Tang - Evolutionary Intelligence, 2021 - Springer
Abstract The Harris Hawks Optimization Algorithm is a new metaheuristic optimization that
simulates the process of Harris Hawk hunting prey (rabbit) in nature. The global and local …

SMS encryption and decryption using modified vigenere cipher algorithm

BB Ahamed, M Krishnamoorthy - … of the Operations Research Society of …, 2020 - Springer
Despite many online messaging services, short message service (SMS) is still used
because of its simplicity. However, such services can be easily cracked, making SMS more …

A novel lifting point location optimization method of transmission line tower based on improved grey wolf optimizer

G Wang, P Ding, C Huang, Z Yu - Scientific Reports, 2023 - nature.com
In the erection process of transmission line tower, the appropriate lifting point position is an
important factor in ensuring the stability and balance of the lifting process and preventing …