Crossover, Macromutationand, and Population-Based Search
Proceedings of the 6th International Conference on Genetic Algorithms
Reducing Local Optima in Single-Objective Problems by Multi-objectivization
EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy
Evolutionary Computation
Multicriteria Optimization
Minimum spanning trees made easier via multi-objective optimization
Natural Computing: an international journal
Do additional objectives make a problem harder?
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Multiobjectivization by Decomposition of Scalar Cost Functions
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
EvoBIO '09 Proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Abandoning objectives: Evolution through the search for novelty alone
Evolutionary Computation
Investigating relevant aspects of MOEAs for protein structures prediction
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Multiobjectivizing the HP model for protein structure prediction
EvoCOP'12 Proceedings of the 12th European conference on Evolutionary Computation in Combinatorial Optimization
Locality-based multiobjectivization for the HP model of protein structure prediction
Proceedings of the 14th annual conference on Genetic and evolutionary computation
GECCO 2012 tutorial on evolutionary multiobjective optimization
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
An improved multiobjectivization strategy for HP model-based protein structure prediction
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part II
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Multiobjectivization with NSGA-ii on the noiseless BBOB testbed
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
GECCO 2013 tutorial on evolutionary multiobjective optimization
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
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Physics-based potential energy functions used in protein structure prediction are composed of several energy terms combined in a weighted sum. `Multiobjectivization' -- splitting up the energy function into its components and optimizing the components as a vector using multiobjective methods -- may have beneficial effects for tackling these difficult problems. In this paper we investigate the hypotheses that multiobjectivization can (i) reduce the number of local optima in the landscapes, as seen by hillclimbers, and (ii) equalize the influence of different energy components that range over vastly different energy scales and hence usually swamp each other's search gradients. The investigations use models of two real molecules, the alanine dipeptide and Metenkephalin under the Amber99 energy function, and consider hillclimbers with a range of mutation step sizes. Our findings support the hypotheses and also indicate that multiobjectivization is competitive with alternative methods of escaping local optima.