Decomposition based hybrid metaheuristics
GR Raidl - European journal of operational research, 2015 - Elsevier
Difficult combinatorial optimization problems coming from practice are nowadays often
approached by hybrid metaheuristics that combine principles of classical metaheuristic …
approached by hybrid metaheuristics that combine principles of classical metaheuristic …
Models and algorithms for competitive facility location problems with different customer behavior
Competitive facility location problems arise in the context of two non-cooperating
companies, a leader and a follower, competing for market share from a given set of …
companies, a leader and a follower, competing for market share from a given set of …
A genetic algorithm in combination with a solution archive for solving the generalized vehicle routing problem with stochastic demands
This work presents a steady-state genetic algorithm enhanced by a complete trie-based
solution archive for solving the generalized vehicle routing problem with stochastic demands …
solution archive for solving the generalized vehicle routing problem with stochastic demands …
Metaheuristic hybrids
Over the last decades, so-called hybrid optimization approaches have become increasingly
popular for addressing hard optimization problems. In fact, when looking at leading …
popular for addressing hard optimization problems. In fact, when looking at leading …
A hybrid genetic algorithm with solution archive for the discrete -centroid problem
In this article we propose a hybrid genetic algorithm for the discrete (r| p)(r| p)-centroid
problem. We consider the competitive facility location problem where two non-cooperating …
problem. We consider the competitive facility location problem where two non-cooperating …
[图书][B] Hybrid metaheuristics
One of the most interesting recent trends for what concerns research on metaheuristics is
their hybridization with other techniques for optimization. In fact, the focus of research on …
their hybridization with other techniques for optimization. In fact, the focus of research on …
A splicing-driven memetic algorithm for reconstructing cross-cut shredded text documents
Reconstruction of cross-cut shredded text documents (RCCSTD) plays a crucial role in many
fields such as forensic and archeology. To handle and reconstruct the shreds, in addition to …
fields such as forensic and archeology. To handle and reconstruct the shreds, in addition to …
Arc routing with electric vehicles: dynamic charging and speed-dependent energy consumption
Concerns about greenhouse gas emissions and government regulations foster the use of
electric vehicles. Several recently published articles study the use of electric vehicles (EVs) …
electric vehicles. Several recently published articles study the use of electric vehicles (EVs) …
An evolutionary algorithm with solution archives and bounding extension for the generalized minimum spanning tree problem
We consider the recently proposed concept of enhancing an evolutionary algorithm (EA)
with a complete solution archive. It stores evaluated solutions during the optimization in …
with a complete solution archive. It stores evaluated solutions during the optimization in …
An evolutionary algorithm for the leader-follower facility location problem with proportional customer behavior
The leader-follower facility location problem arises in the context of two non-cooperating
companies, a leader and a follower, competing for market share from a given set of …
companies, a leader and a follower, competing for market share from a given set of …