The clustered generalized traveling salesman problem (CGTSP) is an extension of the
classical traveling salesman problem (TSP), where the set of nodes is divided into clusters of …

Quantum annealing has the potential to outperform classical transistor-based computer
technologies in tackling intricate combinatorial optimization problems. However, ongoing …

We provide a simple algorithm for constructing Hamiltonian graph cycles (visiting every
vertex exactly once) on a set of arbitrarily large finite subgraphs of aperiodic two …

Annealers leverage quadratic unconstrained binary optimization (QUBO) formulas to
address combinatorial optimization problems (COPs) and have shown potential to …

The FHCP Challenge Set, comprising of 1001 instances of Hamiltonian cycle problem, is
introduced. This set is the first to contain instances of Hamiltonian cycle problem for which …

Production scheduling plays a vital role in industrial manufacturing due to the potential
impact on the production costs and service levels of a company. It consists in finding the best …

This paper investigates the systematic and complete usage of k-opt permutations with k= 2…
6 in application to local optimization of symmetric two-dimensional instances up to 10 7 …

We present a memetic algorithm (\maa) approach for finding a Hamiltonian cycle in a
Hamiltonian graph. The\ma is based on a proven approach to the Asymmetric Travelling …

The Hamiltonian cycle problem consists of finding a cycle in a given graph that passes
through every single vertex exactly once, or determining that this cannot be achieved. In this …

Hamiltonian Cycle Problem is one of the most explored combinatorial problems. Being an
NP‐complete problem, heuristic approaches are found to be more powerful than …