Quantum-inspired metaheuristics emerged by combining the quantum mechanics principles
with the metaheuristic algorithms concepts. These algorithms extend the diversity of the …

In this paper, a Quantum-inspired Ant Colony Optimization (Qi-ACO) is proposed to solve a
sustainable four-dimensional traveling salesman problem (4DTSP). In 4DTSP, various paths …

The Resource-Constrained Project-Scheduling Problem (RCPSP) is an NP-hard problem
which can be found in many research domains. The optimal solution of the RCPSP …

Abstract Design and development of new drug molecules are essential for the survival of
human society. New drugs are designed for therapeutic purposes to combat new diseases …

Quantum-inspired Metaheuristic algorithms have redefined non-deterministic polynomial
time hard optimization challenges by leveraging quantum mechanics principles. These …

This paper addresses the well-known traveling purchaser problem (TPP) considering
restrictions related to perishable food, which is called the traveling purchaser problem for …

In this paper, we propose a multi-vehicle clustered traveling purchaser problem
(MVCluTPP). Here, two types of procurement planning are proposed. In the first setup, the …

With the development of the internet and the availability of smart phones, online shop**
and the number of digital buyers have increased enormously under the present social …

Multi-axis electrical discharge machining (EDM) drilling technology is widely used in the
manufacture of film cooling and jet cooling holes of combustor liners. However, there can be …

The traveling purchaser problem (TPP) is a generalization of the well-known traveling
salesman problem, in which a list of products with different quantities has to be purchased …