scholarly journals A two-phase optimization method for a multiobjective vehicle relocation problem in electric carsharing systems

2018 ◽  
Vol 36 (1) ◽  
pp. 162-193 ◽  
Author(s):  
Maurizio Bruglieri ◽  
Ferdinando Pezzella ◽  
Ornella Pisacane
Keyword(s):  
Optimization Method ◽  
Two Phase ◽  
Phase Optimization

scholarly journals Two-Phase Optimization Method for Determining Distribution Center Locations and Distribution Routes (Case Study: X Ltd.)

2020 ◽  
Vol 0 (5) ◽  
pp. 45
Author(s):  
Muhammad Rayhan Azzindani ◽  
Nabila Fajri Kusuma Ningrum ◽  
Mega Rizkah Sudiar ◽  
Anak Agung Ngurah Perwira Redi
Keyword(s):  
Optimization Method ◽  
Distribution Center ◽  
Two Phase ◽  
Phase Optimization

scholarly journals Customer-Oriented Vehicle Routing Problem with Environment Consideration: Two-Phase Optimization Approach and Heuristic Solution

2019 ◽  
Vol 2019 ◽  
pp. 1-19
Author(s):  
Fanting Meng ◽  
Yong Ding ◽  
Wenjie Li ◽  
Rongge Guo
Keyword(s):  
Vehicle Routing ◽  
Fuel Consumption ◽  
Vehicle Routing Problem ◽  
Optimization Method ◽  
Second Phase ◽  
Optimization Approach ◽  
Two Phase ◽  
Routing Problem ◽  
Problem Model ◽  
Phase Optimization

With the fastest consumer demand growth, the increasing customer’s demands trend to multivarieties and small-batch and the customer requires an efficient distribution planning. How to plan the vehicle route to meet customer satisfaction of mass distribution as well as reduce the fuel consumption and emission has become a hot topic. This paper proposes a two-phase optimization method to handle the vehicle routing problem, considering the customer demands and time windows coupled with multivehicles. The first phase of the optimization method provides a fuzzy hierarchical clustering method for customer grouping. The second phase formulates the optimization en-group vehicle routing problem model and a genetic algorithm to account for vehicle routing optimization within each group so that fuel consumption and emissions are minimized. Finally, we provide some numerical examples. Results show that the two-phase optimization method and the designed algorithm are efficient.

Harmonic Synthesis Design Methodology for Dynamic Spring Balancing

1996 ◽  
Vol 118 (4) ◽  
pp. 733-740 ◽  
Author(s):  
Eungsoo Shin ◽  
D. A. Streit
Keyword(s):  
Dynamic System ◽  
Initial Conditions ◽  
Phase 1 ◽  
System Optimization ◽  
Optimization Method ◽  
Optimization Techniques ◽  
System Response ◽  
Two Phase ◽  
Walking Machine ◽  
Synthesis Design

A new spring balancing technique, called a two-phase optimization method, is presented. Phase 1 uses harmonic synthesis to provide a system configuration which achieves an approximation to a desired dynamic system response. Phase 2 uses results of harmonic synthesis as initial conditions for dynamic system optimization. Optimization techniques compensate for nonlinearities in machine dynamics. Example applications to robot manipulators and to walking machine legs are presented and discussed.

Topology Synthesis of Two-Phase Compliant Actuators

1999 ◽  
Author(s):  
Ole Sigmund
Keyword(s):  
Topology Optimization ◽  
Material Design ◽  
Optimization Method ◽  
The Other ◽  
Design Domain ◽  
Active Materials ◽  
Two Phase ◽  
Thermal Actuators ◽  
Compliant Actuators ◽  
Topology Optimization Method

Abstract This paper describes how the topology optimization method can be used as a tool for the synthesis of two-phase compliant actuators. Two materials, one or both being active materials, are distributed in a design domain such that the work performed on an elastic workpiece is maximized. The two-material design is obtained by introducing two variables per element. One variable determines the relative density of material in the element and the other variable determines the material type. Examples demonstrate the design of thermal actuators and gripping mechanisms.

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