The paper presents a multiobjective optimization problem that considers distributing multiple
kinds of products from multiple sources to multiple targets. The problem is of high complexity …

Today's linked and technology-driven world requires competent global IT operations
leadership for company success. This research study examines how leadership shapes and …

Motivated by the hierarchical structure within transportation systems, this paper explores a
two-phase time minimization transportation problem with restricted flow (2 p− TPF). In this …

The classical transportation problem (CTP) is a particular kind of optimization problem. It
involves determining the most costeffective way to transport a uniform product from several …

Transportation of goods or commodity from the source to destination is considered as a cost
or time minimization transportation problem. Bulk transportation problem is a special case of …

Particle swarm optimisation (PSO) algorithm is renowned for its ability to deal with a wide
variety of real life complex problems. The adaptive ability of PSO makes it applicable to …

Genetic Algorithm (GA) is a well known meta-heuristic algorithm, generally, applied to solve
many combinatorial optimization problems. It is based on the evolution theory and 'evolves' …

In this paper, we approached a Zero Suffix method to study the optimal solution of the Multi-
Objective Bulk Transportation Problem (MOBTP) involving trade-off cost against time. This is …

The Classical Transportation Problem (CTP) is a single objective transportation problem. It
has applications in network flow optimization where it is required to determine the minimum …

Cities have long had an organic connection with the rivers along which they are located.
Urban rivers are usually the principal source of fresh water for the respective cities and also …