Optimization of a non-instantaneous deteriorating inventory problem with time and price dependent demand over finite time horizon via hybrid DESGO algorithm

M Akhtar, AK Manna, AK Bhunia - Expert Systems with Applications, 2023 - Elsevier
This work presents an inventory model with partial backlogged shortages for deteriorating
items over finite time horizon. Here, the deterioration rate is considered as a random …

Modeling of a carbon emitted production inventory system with interval uncertainty via meta-heuristic algorithms

AK Manna, MS Rahman, AA Shaikh, AK Bhunia… - Applied Mathematical …, 2022 - Elsevier
Modeling of a production inventory system under uncertain economic situation is a difficult
task. Tackling this difficulty, the proposed work attempts to formulate a production inventory …

Optimization of a deteriorated two-warehouse inventory problem with all-unit discount and shortages via tournament differential evolution

AK Manna, M Akhtar, AA Shaikh, AK Bhunia - Applied Soft Computing, 2021 - Elsevier
Tournamenting process plays an important role in the selection of best alternative in a
knockout system. This concept is applied in the development of a hybrid algorithm based on …

An application of tournament differential evolution algorithm in production inventory model with green level and expiry time dependent demand

M Akhtar, A Duary, AK Manna, AA Shaikh… - Artificial Intelligence …, 2023 - Springer
In the present situation, environment is rapidly polluted by the manufacturing of non-eco-
friendly products and carbon emission from production industries. So, to control this pollution …

An application of real coded Self-organizing Migrating Genetic Algorithm on a two-warehouse inventory problem with Type-2 interval valued inventory costs via mean …

MS Rahman, A Duary, AA Shaikh, AK Bhunia - Applied Soft Computing, 2022 - Elsevier
Hybrid meta-heuristic algorithms play significant role for solving highly non-linear and non-
convex optimization problems in uncertain environment because any hybrid algorithm is …

Application of hybrid binary tournament-based quantum-behaved particle swarm optimization on an imperfect production inventory problem

N Kumar, AK Manna, AA Shaikh, AK Bhunia - Soft Computing, 2021 - Springer
Nowadays, use of various types of hybrid metaheuristic algorithms attracts the researchers
to optimize the average profit or cost of an inventory system to avoid the local optimality due …

A binary tournament competition algorithm for solving partial differential equation constrained optimization via finite element method

N Kumar, SK Mahato, AK Bhunia - Applied Soft Computing, 2022 - Elsevier
Sometimes, in a tournament competition to form a single team from two teams, 50% players
are selected from the union of both teams according to their performance (fitness) …

Quantum computing intelligence algorithm for structural topology optimization

Z Wang, X Wang - Applied Mathematical Modelling, 2025 - Elsevier
Structural topology optimization methods that are driven by the geometric features of
components, such as the Moving Morphable Component (MMC), are widely explored due to …

Generalized type 2 fuzzy differential evolution applied to a Sugeno controller

P Ochoa, C Peraza, O Castillo, P Melin - Axioms, 2023 - mdpi.com
The papers using fuzzy logic have generated continuous improvements for applications, and
an example of this is the use of generalized type 2 fuzzy systems in real-world problems …

An enhanced approach for optimizing mathematical and structural problems by combining PSO, GSA and gradient directions

F Salajegheh, E Salajegheh, S Shojaee - Soft Computing, 2022 - Springer
In this paper, the combination of particle swarm optimization (PSO) and gravitational search
algorithm (GSA) is enhanced by the first-order gradient method and a new optimization …