none3siThe corridor method is a general method originally proposed as a way to gain efficiency in dynamic programming search, possibly losing optimality. Later, it has been extended beyond DP to other exact optimization methods. The basic idea is that of using the exact method over successive restricted portions of the solution space of the given problem. The restriction is obtained by applying exogenous constraints, which define local neighborhoods around points of interest. The corridor method is very general, the basic structure of the neighborhoods to explore is determined by the needs and requirements of the optimization method used for searching. The intrinsic reliance on mathematical programming makes this approach a prototypical cas...
International audienceMulti-objective optimization procedures usually proceed by iteratively produci...
The motion-planning problem, involving the computation of a colli-sion-free path for a moving entity...
Thesis (Ph.D.)--University of Washington, 2016-03Spatially-explicit mixed-integer programming models...
The corridor method is a general method originally proposed as a way to gain efficiency in dynamic p...
This paper presents a dynamic programming inspired metaheuristic called Corridor Method. It can be c...
The problem of transmission line corridor location can be considered, at best, a "wicked" public sys...
In the thesis we will discuss the minimum-length corridor problem. Given a rectangular boundary part...
While heuristics based on geometric constructs of the networks would appear to improve performance o...
The discrete optimization technique called local search yields impressive results on many important ...
Many discrete optimization problems of practical interest cannot be solved to optimality in the avai...
A service corridor is defined as a continuous volume between two points in space through which servi...
Newton's method plays a central role in the development of numerical techniques for optimizatio...
The typical objective of path planning is to find the shortest feasible path. Many times, however, t...
[[abstract]]Using a transportation project evaluation problem as an example, in this paper we employ...
International audienceThis letter proposes a novel methodology for path generation in known and cong...
International audienceMulti-objective optimization procedures usually proceed by iteratively produci...
The motion-planning problem, involving the computation of a colli-sion-free path for a moving entity...
Thesis (Ph.D.)--University of Washington, 2016-03Spatially-explicit mixed-integer programming models...
The corridor method is a general method originally proposed as a way to gain efficiency in dynamic p...
This paper presents a dynamic programming inspired metaheuristic called Corridor Method. It can be c...
The problem of transmission line corridor location can be considered, at best, a "wicked" public sys...
In the thesis we will discuss the minimum-length corridor problem. Given a rectangular boundary part...
While heuristics based on geometric constructs of the networks would appear to improve performance o...
The discrete optimization technique called local search yields impressive results on many important ...
Many discrete optimization problems of practical interest cannot be solved to optimality in the avai...
A service corridor is defined as a continuous volume between two points in space through which servi...
Newton's method plays a central role in the development of numerical techniques for optimizatio...
The typical objective of path planning is to find the shortest feasible path. Many times, however, t...
[[abstract]]Using a transportation project evaluation problem as an example, in this paper we employ...
International audienceThis letter proposes a novel methodology for path generation in known and cong...
International audienceMulti-objective optimization procedures usually proceed by iteratively produci...
The motion-planning problem, involving the computation of a colli-sion-free path for a moving entity...
Thesis (Ph.D.)--University of Washington, 2016-03Spatially-explicit mixed-integer programming models...