[HTML][HTML] Artificial intelligence for precision medicine in neurodevelopmental disorders
The ambition of precision medicine is to design and optimize the pathway for diagnosis,
therapeutic intervention, and prognosis by using large multidimensional biological datasets …
therapeutic intervention, and prognosis by using large multidimensional biological datasets …
A review of vehicle routing with simultaneous pickup and delivery
In the vehicle routing problem with simultaneous pickup and delivery (VRPSPD), goods
have to be transported from different origins to different destinations, and each customer has …
have to be transported from different origins to different destinations, and each customer has …
Review of artificial intelligence applications in engineering design perspective
Having passed the primitive phases and starting to revolutionize many different fields in
some way, artificial intelligence is on its way to becoming a disruptive technology. It is also …
some way, artificial intelligence is on its way to becoming a disruptive technology. It is also …
Genetic algorithms and their applications
The first part of this chapter describes the foundation of genetic algorithms. It includes hybrid
genetic algorithms, adaptive genetic algorithms, and fuzzy logic controllers. After a short …
genetic algorithms, adaptive genetic algorithms, and fuzzy logic controllers. After a short …
Aging-aware optimal power management control and component sizing of a fuel cell hybrid electric vehicle powertrain
The current study presents a comprehensive approach for optimizing the power distribution
control and design of a Fuel Cell Hybrid Electric Vehicle (FCHEV) equipped with a Battery …
control and design of a Fuel Cell Hybrid Electric Vehicle (FCHEV) equipped with a Battery …
Electric hydraulic hybrid vehicle powertrain design and optimization-based power distribution control to extend driving range and battery life cycle
This paper presents a comprehensive optimization procedure of a series electric hydraulic
hybrid vehicle powertrain and control through the interactive adaptive-weight genetic …
hybrid vehicle powertrain and control through the interactive adaptive-weight genetic …
Multi-objective optimization design and control of plug-in hybrid electric vehicle powertrain for minimization of energy consumption, exhaust emissions and battery …
Plug-in hybrid electric vehicles (PHEV) offer an attractive alternative to achieve the
ambitious goals set by strong policies focused on near-term air quality and fuel-efficient road …
ambitious goals set by strong policies focused on near-term air quality and fuel-efficient road …
Comparison of three evolutionary algorithms: GA, PSO, and DE
V Kachitvichyanukul - Industrial Engineering and Management …, 2012 - koreascience.kr
This paper focuses on three very similar evolutionary algorithms: genetic algorithm (GA),
particle swarm optimization (PSO), and differential evolution (DE). While GA is more suitable …
particle swarm optimization (PSO), and differential evolution (DE). While GA is more suitable …
[HTML][HTML] Dual HESS electric vehicle powertrain design and fuzzy control based on multi-objective optimization to increase driving range and battery life cycle
This study presents a comprehensive multi-objective optimization approach for a dual HESS-
based electric vehicle (EV) powertrain using the interactive adaptive-weight genetic …
based electric vehicle (EV) powertrain using the interactive adaptive-weight genetic …
A genetic algorithm based approach to vehicle routing problem with simultaneous pick-up and deliveries
AS Tasan, M Gen - Computers & Industrial Engineering, 2012 - Elsevier
The vehicle routing problem with simultaneous pick-up and deliveries, which considers
simultaneous distribution and collection of goods to/from customers, is an extension of the …
simultaneous distribution and collection of goods to/from customers, is an extension of the …