Tidal current energy has the advantage of predictability over most other renewable resources. However, due to harsh operating environment and complicated site conditions, developments in this domain have been gradual. Paramount these points is device design optimisation hydrodynamic performance. Recent correction models BEM theory further improved accuracy prediction model. Using an blade eleme...

This paper proposes a multi-objective Slime Mould Algorithm (MOSMA), variant of the recently-developed (SMA) for handling optimization problems in industries. Recently, problems, several meta-heuristic and evolutionary techniques have been suggested community. These methods tend to suffer from low-quality solutions when evaluating (MOO) than addressing objective functions identifying Pareto opt...

This study addresses the pickup and delivery problem for cross-docking strategy, in which shipments are allowed to be transferred from suppliers to retailers directly as well as through cross-docks. Usual models that investigate vehicle routing in cross-docking networks force all vehicles to stop at the cross-dock even if a shipment is about to a full truckload or the vehicle collects and deliv...

In this paper, a bi-objective multi-product (r,Q) inventory model in which the inventory level is reviewed continuously is proposed. The aim of this work is to find the optimal value for both order quantity and reorder point through minimizing the total cost and maximizing the service level of the proposed model simultaneously. It is assumed that shortage could occur and unsatisfied demand coul...

The shortest path routing problem is a multiobjective nonlinear optimization problem with constraints. This problem has been addressed by considering Quality of service parameters, delay and cost objectives separately or as a weighted sum of both objectives. Multiobjective evolutionary algorithms can find multiple pareto-optimal solutions in one single run and this ability makes them attractive...

Sustainability of transportation has become one of the most significant issues in the world due to the increasing global warming concerns. There has been a growing interest in improving the performance of the transportation systems using sustainability concepts. In this study, we use some social and environmental measures to assess the sustainability of transportation, such as accessibility of ...

In this paper, a non-dominated sorting based multi objective EA (MOEA), called Elitist non dominated sorting genetic algorithm (Elitist NSGA) has been presented for solving the fault section estimation problem in automated distribution systems, which alleviates the difficulties associated with conventional techniques of fault section estimation. Due to the presence of various conflicting object...

The shortest path routing problem is a multiobjective nonlinear optimization problem with constraints. This problem has been addressed by considering Quality of service parameters, delay and cost objectives separately or as a weighted sum of both objectives. Multiobjective evolutionary algorithms can find multiple pareto-optimal solutions in one single run and this ability makes them attractive...