All Outputs (7)

Improving performance of a hyper-heuristic using a multilayer perceptron for vehicle routing (2015)
Conference Proceeding

A hyper-heuristic is a heuristic optimisation method which generates or selects heuristics (move operators) based on a set of components while solving a computationally difficult problem. Apprenticeship learning arises while observing the behavior of... Read More about Improving performance of a hyper-heuristic using a multilayer perceptron for vehicle routing.

Toward better build volume packing in additive manufacturing: classification of existing problems and benchmarks (2015)
Conference Proceeding

In many cases, the efficient operation of Additive Manufacturing (AM) technology relies on build volumes being packed effectively. Packing algorithms have been developed in response to this requirement. The configuration of AM build volumes is partic... Read More about Toward better build volume packing in additive manufacturing: classification of existing problems and benchmarks.

A tensor analysis improved genetic algorithm for online bin packing (2015)
Conference Proceeding

Mutation in a Genetic Algorithm is the key variation operator adjusting the genetic diversity in a population throughout the evolutionary process. Often, a fixed mutation probability is used to perturb the value of a gene. In this study, we describe... Read More about A tensor analysis improved genetic algorithm for online bin packing.

A comparison of crossover control mechanisms within single-point selection hyper-heuristics using HyFlex (2015)
Conference Proceeding

Hyper-heuristics are search methodologies which operate at a higher level of abstraction than traditional search and optimisation techniques. Rather than operating on a search space of solutions directly, a hyper-heuristic searches a space of low-lev... Read More about A comparison of crossover control mechanisms within single-point selection hyper-heuristics using HyFlex.

A modified choice function hyper-heuristic controlling unary and binary operators (2015)
Conference Proceeding

Hyper-heuristics are a class of high-level search methodologies which operate on a search space of low-level heuristics or components, rather than on solutions directly. Traditional iterative selection hyper-heuristics rely on two key components, a h... Read More about A modified choice function hyper-heuristic controlling unary and binary operators.

A simulated annealing approach to supplier selection aware inventory planning (2015)
Conference Proceeding

Selection of an appropriate supplier is a crucial and challenging task in the effective management of a supply chain. Also, appropriate inventory management is critical to the success of a supply chain operation. In recent years, there has been a gro... Read More about A simulated annealing approach to supplier selection aware inventory planning.

Heuristic generation via parameter tuning for online bin packing (2015)
Conference Proceeding

© 2014 IEEE. Online bin packing requires immediate decisions to be made for placing an incoming item one at a time into bins of fixed capacity without causing any overflow. The goal is to maximise the average bin fullness after placement of a long st... Read More about Heuristic generation via parameter tuning for online bin packing.