This paper presents a new risk aversion p-hub center problem with fuzzy travel times, in which value-at-risk (VaR) criterion is adopted in the formulation of ...

Solving Bi-Objective Fuzzy P-Hub Center Problem by Using Genetic Algorithm, Incorporating Local Search and Absolute Priority Method · Developing equilibrium ...

Oct 22, 2024 · They solved the problem by utilizing an improved hybrid particle swarm optimization algorithm by combining genetic operators and local search. .

Fuzzy p-hub center problem is proposed and solved by genetic algorithm incorporating local search (GALS) before. In real world, opening hubs may need ...

In our designed GALS, the GA is used to perform global search, while LS strategy is applied to each generated individual (or chromosome) of the population.

Fuzzy p-hub center problem is proposed and solved by genetic algorithm incorporating local search (GALS) before. In real world, opening hubs may need ...

We use a fuzzy bicriteria model for solving the problem, embedded in a genetic algorithm that looks for the best trade-off solution. A set of experiments have ...

Fuzzy p-hub center problem is proposed and solved by genetic algorithm incorporating local search (GALS) before. In real world, opening hubs may need ...

The p-hub center problem has extensive applications in various real-world fields such as transportation and telecommunication systems.

A bi-objective p-hub center problem is presented and an algorithm using GALS based on absolute priority of objectives is suggested to solve the proposed bi- ...