Computer simulation of liquids
Computer simulation of liquids
Statistical mechanics theory of genetic algorithms
Theoretical aspects of evolutionary computing
Molecular Simulation of Fluids: Theory, Algorithms and Object-Orientation
Molecular Simulation of Fluids: Theory, Algorithms and Object-Orientation
Understanding Molecular Simulation
Understanding Molecular Simulation
Multiple Objective Optimization with Vector Evaluated Genetic Algorithms
Proceedings of the 1st International Conference on Genetic Algorithms
Maximum Entropy Analysis of Genetic Algorithm Operators
Selected Papers from AISB Workshop on Evolutionary Computing
A new dynamical evolutionary algorithm based on statistical mechanics
Journal of Computer Science and Technology
Multiobjective evolutionary algorithms: classifications, analyses, and new innovations
Multiobjective evolutionary algorithms: classifications, analyses, and new innovations
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Evolutionary Computation
Application notes: MEBRA: multiobjective evolutionary-based risk assessment
IEEE Computational Intelligence Magazine
Multicriteria decision making (MCDM): a framework for research and applications
IEEE Computational Intelligence Magazine
A systems approach to evolutionary multiobjective structural optimization and beyond
IEEE Computational Intelligence Magazine
Closed-loop evolutionary multiobjective optimization
IEEE Computational Intelligence Magazine
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
Asymptotic convergence of some metaheuristics used for multiobjective optimization
FOGA'05 Proceedings of the 8th international conference on Foundations of Genetic Algorithms
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
Properties of an adaptive archiving algorithm for storing nondominated vectors
IEEE Transactions on Evolutionary Computation
Incremental multiple objective genetic algorithms
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Hi-index | 12.05 |
Gas molecules within an enclosure will always tend to a homogenous and uniform equilibrium with maximum entropy, even without any prior knowledge on the geometry and state of the enclosure. Furthermore, if an uneven potential field was present, more molecules will tend to reside in the lower potential region as dictated by the Maxwell-Boltzmann distribution. The inherent diverse behavior of molecular system and their converging drift pressure in potential fields seems to be applicable for the contrary goals of proximity and diversity in multi-objective optimization. Inspired by this association, this paper will explore the notion of exploiting molecular motion to solve multi-objective problems. By adapting the algorithmic structure of molecular dynamics, which essentially represents a technique for the computer simulation of molecular motion, a molecular system that is relevant for multi-objective optimization is proposed, known as molecular dynamics optimizer (MDO). The performance of MDO was compared with other conventional multi-objective optimizers, specifically EA and PSO, in several multi-objective benchmark problems and the experimental results demonstrated that MDO is indeed a viable and practical approach for multi-objective optimization.