Optimization of a non-instantaneous deteriorating inventory problem with time and price dependent demand over finite time horizon via hybrid DESGO algorithm
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
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
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 …
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
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) …
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 …
components, such as the Moving Morphable Component (MMC), are widely explored due to …
Generalized type 2 fuzzy differential evolution applied to a Sugeno controller
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 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 …
algorithm (GSA) is enhanced by the first-order gradient method and a new optimization …