Hybrid Hydraulic Vehicle Parameter Optimization using Multi-Objective Genetic Algorithm

MULTI-OBJECTIVE OPTIMIZATION OF TIME-COST-SAFETY USING GENETIC ALGORITHM

Safety risk management has a considerable effect on disproportionate injury rate of construction industry, project cost and both labor and public morale. On the other hand time-cost optimization (TCO) may earn a big profit for project stakeholders. This paper has addressed these issues to present a multi-objective optimization model to simultaneously optimize total time, total cost and overall ...

Dynamic modelling and parameter estimation of a hydraulic robot manipulator using a multi-objective genetic algorithm

A Hybrid Multi-Objective Genetic Algorithm for Topology Optimization

A new tool is developed in order to solve computationally expensive multi-objective topology optimization problems related to the design for flexible active and passive skins for morphing aircraft. The approach used is based on a multiobjective genetic algorithm coupled with a local search algorithm to create a hybrid multi-objective algorithm. The ability of the developed algorithm to find eff...

Autonomous Underwater Vehicle Hull Geometry Optimization Using a Multi-objective Algorithm Approach

Abstarct In this paper, a new approach to optimize an Autonomous Underwater Vehicle (AUV) hull geometry is presented. Using this methode, the nose and tail of an underwater vehicle are designed, such that their length constraints due to the arrangement of different components in the AUV body are properly addressed. In the current study, an optimal design for the body profile of a torpedo-shaped...

A New Multi-objective Job Shop Scheduling with Setup Times Using a Hybrid Genetic Algorithm

This paper  presents a new multi objective job shop scheduling with sequence-dependent setup times. The objectives are to minimize the makespan and sum of the earliness and tardiness of jobs in a time window. A mixed integer programming model is developed for the given problem that belongs to NP-hard class. In this case, traditional approaches cannot reach to an optimal solution in a reasonable...