Searching for "Squeaky Wheel Optimization." – sorted by Relevance.
-
"Squeaky Wheel" Optimization
- /99 "Squeaky Wheel" Optimization David E. Joslin david joslin@(email omitted); i2 Technologies 909 E. Las Colinas Blvd
- Cited by 52 (0 self) – Add To MetaCart
-
Minimizing the Makespan for Unrelated Parallel Machines
- the traditional SA and developed an effective heuristic for the problem: Squeaky Wheel Optimization (SWO) hybrid
- Add To MetaCart
-
An effective algorithm for project scheduling with arbitrary temporal constraints
- the benefits of squeaky wheel optimization with an effective conflict resolution mechanism, called bulldozing
- Cited by 3 (0 self) – Add To MetaCart
-
Can Search Play A Role in Practical Applications?
- techniques we will discuss are limited discrepancy search, schedule packing, squeaky wheel optimization
- Cited by 2 (0 self) – Add To MetaCart
-
Leap before you look: An effective strategy in an oversubscribed scheduling problem
- : Squeaky Wheel Optimization (SWO)(Joslin & Clements 1999). SWO focuses attention on the most contentious
- Cited by 11 (6 self) – Add To MetaCart
-
Mixed discrete and continuous algorithms for scheduling airborne astronomy observations
- approach to solving the problem. Squeaky Wheel Optimization (SWO) [7] was originally developed
- Cited by 2 (1 self) – Add To MetaCart
-
WINDOW-BASED PROJECT SCHEDULING ALGORITHMS
- that ii combines the benefits of squeaky wheel optimization with an effective conflict reso- lution
- Cited by 1 (0 self) – Add To MetaCart
-
Understanding performance tradeoffs in algorithms for solving oversubscribed scheduling
- with the AFSCN problem has shown permutation-space scheduling procedures such as Squeaky Wheel Optimization (SWO
- Cited by 1 (1 self) – Add To MetaCart
-
Understanding Algorithm Performance on an Oversubscribed Scheduling Application
- . The best performing solutions to AFSCN are a genetic algorithm (Genitor), Squeaky Wheel Optimization (SWO
- Cited by 2 (0 self) – Add To MetaCart
-
Hybrid Local Search on Two Multicolouring Models
- of Squeaky Wheel Optimization [4] and a hill-climbing procedure (denoted here by SWO+HC), and apply
- Cited by 1 (0 self) – Add To MetaCart

