The increase in energy consumption, environmental pollution issues, and low-carbon
agenda has grown the research area of demand side management (DSM). DSM programs …

This paper proposes a new evolutionary algorithm namely Evolutionary Mating Algorithm
(EMA) to solve constrained optimization problems. The algorithm is based on the adoption of …

This article addresses the three-dimensional mixed intuitionistic fuzzy assignment problems
(3D-MIFAPs). In this article, firstly, the author formulates an assignment problem (AP) and …

This paper introduces the Gooseneck Barnacle Optimisation Algorithm (GBO) as a novel
evolutionary method inspired by the natural mating behaviour of gooseneck barnacles …

One of the major economic activities of a business concern is transportation of its products
without any hassle. Therefore, the research on a transportation problem is very important …

Warehousing a substantial quantity of products in case of a transportation problem serves as
a pivotal factor in achieving substantial cost reductions while simultaneously minimizing time …

Linear fractional programming (LFP) is a powerful mathematical tool for solving optimization
problems with a ratio of linear functions as the objective function. In real-world applications …

Scatter search (SS) is a population-based metaheuristic algorithm, which has been proved
high efficiency and effective optimizer for complex continuous real value problems. A two …

In a post-disaster response operation of a severe cyclone, like Biparjoy, the transportation of
humanitarian aid (HA) is the foremost activity in the aftermath of the disaster. Here, due to …

The fuzzy transportation problem (FTP) represents a significant extension of the classical
transportation problem (TP) by introducing uncertainly and imprecision into the parameters …