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An iterated sample construction with path relinking method: Application to switch allocation in electrical distribution networks
(2013-01-01)
We present a metaheuristic approach which combines constructive heuristics and local searches based on sampling with path relinking. Its effectiveness is demonstrated by an application to the problem of allocating switches ...
Comparing meta-heuristic approaches for parallel machine scheduling problems
(Taylor & Francis LtdAbingdonInglaterra, 2002)
Simple heuristics for the assembly line worker assignment and balancing problem
(SpringerThe Netherlands, 2012)
We propose simple heuristics for the assembly line worker assignment and balancing problem. This problem typically occurs in assembly lines in sheltered work centers for the disabled. Different from the well-known simple ...
Simple heuristics for the assembly line worker assignment and balancing problem
(Springer, 2012-06-01)
We propose simple heuristics for the assembly line worker assignment and balancing problem. This problem typically occurs in assembly lines in sheltered work centers for the disabled. Different from the well-known simple ...
Lot sizing and furnace scheduling in small foundries
(2008-03-01)
A lot sizing and scheduling problem prevalent in small market-driven foundries is studied. There are two related decision levels: (1) the furnace scheduling of metal alloy production, and (2) moulding machine planning which ...
A priori reformulations for joint rolling-horizon scheduling of materials processing and lot-sizing problem
(2013-06-10)
In many production processes, a key material is prepared and then transformed into different final products. The lot sizing decisions concern not only the production of final products, but also that of material preparation ...
Solving the 3D container ship loading planning problem by representation by rules and meta-heuristics
(2014-01-01)
This paper formulates the 3D containership loading planning problem (3D CLPP) and also proposes a new and compact representation to efficiently solve it. The key objective of stowage planning is to minimise the number of ...
A multi-objective artificial butterfly optimization approach for feature selection
(2020-09-01)
Feature selection plays an essential role in machine learning since high dimensional real-world datasets are becoming more popular nowadays. The very basic idea consists in selecting a compact but representative set of ...
Heuristics and meta-heuristics for lot sizing and scheduling in the soft drinks industry: A comparison study
(2008-09-04)
This chapter studies a two-level production planning problem where, on each level, a lot sizing and scheduling problem with parallel machines, capacity constraints and sequence-dependent setup costs and times must be solved. ...
A binary cuckoo search and its application for feature selection
(2014-01-01)
In classification problems, it is common to find datasets with a large amount of features, some of theses features may be considered as noisy. In this context, one of the most used strategies to deal with this problem is ...