Genetic algorithms for planning and scheduling engineer-to-order production: a systematic review
This paper provides a systematic review of the Genetic Algorithm (GA) s proposed to solve
planning and scheduling problems in Engineer-To-Order (ETO) contexts. Our review …
planning and scheduling problems in Engineer-To-Order (ETO) contexts. Our review …
Maintaining healthy population diversity using adaptive crossover, mutation, and selection
B McGinley, J Maher, C O'Riordan… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
This paper presents ACROMUSE, a novel genetic algorithm (GA) which adapts crossover,
mutation, and selection parameters. ACROMUSEs objective is to create and maintain a …
mutation, and selection parameters. ACROMUSEs objective is to create and maintain a …
A didactic review on genetic algorithms for industrial planning and scheduling problems
Most industrial planning and scheduling problems are NP-hard, stochastic, and subject to
multi-objective. A wide variety of heuristic methods have been designed or adapted to solve …
multi-objective. A wide variety of heuristic methods have been designed or adapted to solve …
Bridging the gap between deterministic and probabilistic uncertainty quantification using advanced proxy based methods
N Goodwin - SPE Reservoir Simulation Conference?, 2015 - onepetro.org
The use of proxy models for optimisation of expensive functions has demonstrated its value
since the 1990's in many industries. Within reservoir engineering, similar techniques have …
since the 1990's in many industries. Within reservoir engineering, similar techniques have …
New ways to calibrate evolutionary algorithms
The issue of setting the values of various parameters of an evolutionary algorithm (EA) is
crucial for good performance. One way to do it is by controlling EA parameters on-the-fly …
crucial for good performance. One way to do it is by controlling EA parameters on-the-fly …
Self-tune linear adaptive-genetic algorithm for feature selection
Genetic algorithm (GA) is an established machine learning technique used for heuristic
optimisation purposes. However, this natural selection-based technique is prone to …
optimisation purposes. However, this natural selection-based technique is prone to …
Path route layout design optimization using genetic algorithm: based on control mechanisms for on-line crossover intersection positions and bit targeted mutation
Path route layout design is very actual and complex problem, important for improvement of
transportation, traffic, travel or roads planning. Solution domain is huge and finding …
transportation, traffic, travel or roads planning. Solution domain is huge and finding …
Priority-based selection of individuals in memetic algorithms for distributed data-intensive web service compositions
In distributed computing, Web Service Composition (WSC) leads to the effective reuse of
existing services and produces added value. WSC must fulfil functional requirements and …
existing services and produces added value. WSC must fulfil functional requirements and …
Parameter control methods for selection operators in genetic algorithms
Parameter control is still one of the main challenges in evolutionary computation. This paper
is concerned with controlling selection operators on-the-fly. We perform an experimental …
is concerned with controlling selection operators on-the-fly. We perform an experimental …
[PDF][PDF] Geometry-based structural optimization on CAD specification trees
D Weiss - 2009 - research-collection.ethz.ch
This thesis has been conducted in response to increasing corporate needs regarding virtual
design process automation. Current design processes are already strongly based on virtual …
design process automation. Current design processes are already strongly based on virtual …