Walking mechanisms are a solution for cases in which wheels not applicable, such as uneven or stepped surfaces and withobstacles. Furthermore, it is possible to tailor mechanism footpaths expected working conditions through optimization. Thus, this paper, optimization process was proposed, focusing on single-leg performance. Numerical Simulink calculations were used determine objective function...

The problem of maximizing the benefit from a specified number of a particular product with respect to the behavior of customer choices is regarded as revenue management. This managerial technique was first adopted by the airline industries before being widely used by many others such as hotel industries. The scope of this research is mainly focused on hotel revenue management, regarding which a...

To address the issues of low efficiency and lengthy running time associated with trajectory planning for 6-degree-of-freedom manipulators, this paper introduces a novel solution that generates time-optimal path manipulator while adhering to its kinematic limitations. The proposed method comprises several stages. Firstly, kinematics are analyzed. Secondly, manipulator’s joint-space points interp...

This paper studies a location–routing–inventory problem in a multi-period closed-loop supply chain with multiple suppliers, producers, distribution centers, customers, collection centers, recovery, and recycling centers. In this supply chain, centers are multiple levels, a price increase factor is considered for operational costs at centers, inventory and shortage (including lost sales and back...

Integrated production-distribution planning (PDP) is one of the most important approaches in supply chain networks. We consider a supply chain network (SCN) consististing of multi suppliers, plants, distribution centers (DCs), and retailers. A bi-objective mixed integer linear programming model for integrating production-distribution designed here aim to simultaneously minimize total net costs ...

In this paper a comparison of the most recent algorithms for Multiobjective Optimization is realized. For this comparison are used the followings algorithms: Strength Pareto Evolutionary Algorithm (SPEA), Pareto Archived Evolution Strategy (PAES), Nondominated Sorting Genetic Algorithm (NSGA II), Adaptive Pareto Algorithm (APA). The comparison is made by using five test functions.

In order to improve the hydraulic performance of a deep-sea mining pump, this research proposed multi-objective optimization strategy based on computational fluid dynamics (CFD) numerical simulation, genetic algorithm back propagation (GABP) neural network, and non-dominated sorting algorithm-III (NSGA-III). Significance analysis impeller diffuser parameters was conducted using Plackett–Burman ...

The uncertainty of transportation duration between nodes is an inherent characteristic and should be concerned in the routing optimization multimodal network to guarantee reliability delivery time. interval number used deal with duration, multi-objective robust model established which covers cost. To solve combinatorial problem this study, Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) de...

Maintenance activities mostly depend on the specific conditions of individual equipment, being defined as personalized businesses. In order to improve efficiency maintenance for complex equipment in lots, thinking mass customization is used. After modular technology used generic model, product/service was divided into mandatory and optional modules, which can form multiple service solutions. Co...