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Proceedings of the 7th annual conference on Genetic and evolutionary computation

https://doi.org/10.1145/1068009
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Region-based memetic algorithm with archive for multimodal optimisation
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An experimental study of hyper-heuristic selection and acceptance mechanism for combinatorial t -way test suite generation
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H3AD: A hybrid hyper-heuristic for algorithm design
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Landscape-based adaptive operator selection mechanism for differential evolution
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Dynamic Multi-objective Estimation of Distribution Algorithm based on Domain Adaptation and Nonparametric Estimation
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Semantic tournament selection for genetic programming based on statistical analysis of error vectors
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Adaptive decomposition-based evolutionary approach for multiobjective sparse reconstruction
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Adaptive differential evolution with a Lagrange interpolation argument algorithm
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Multi-layer interaction preference based multi-objective evolutionary algorithm through decomposition
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Optimized time-lag differential method for constructing gene regulatory network
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Infeasibility and structural bias in differential evolution
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Memory based self-adaptive sampling for noisy multi-objective optimization
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Making use of observable parameters in evolutionary dynamic optimization
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A close neighbor mobility method using particle swarm optimizer for solving multimodal optimization problems
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Subpopulation initialization driven by linkage learning for dealing with the Long-Way-To-Stuck effect
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Reinvestigation of evolutionary many-objective optimization: Focus on the Pareto knee front
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Reformulating preferences into constraints for evolutionary multi- and many-objective optimization
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A novel decomposition-based multiobjective evolutionary algorithm using improved multiple adaptive dynamic selection strategies
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Double-layer-clustering differential evolution multimodal optimization by speciation and self-adaptive strategies
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A decision variable classification-based cooperative coevolutionary algorithm for dynamic multiobjective optimization
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A neuro-diversified benchmark generator for black box optimization
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Characterisation of environment type and difficulty for streamed data classification problems
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Dynamic multiobjective optimization driven by inverse reinforcement learning
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Auto-CASH: A meta-learning embedding approach for autonomous classification algorithm selection
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Finding top-K solutions for the decision-maker in multiobjective optimization
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Differential evolution guided by approximated Pareto set for multiobjective optimization
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History information-based Hill-Valley technique for multimodal optimization problems
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A network community-based differential evolution for multimodal optimization problems
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Temporal distribution-based prediction strategy for dynamic multi-objective optimization assisted by GRU neural network
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An improved multi-operator differential evolution with two-phase migration strategy for numerical optimization
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Guided prediction strategy based on regional multi-directional information fusion for dynamic multi-objective optimization
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Niche center identification differential evolution for multimodal optimization problems
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Dynamic multi-objective optimization based on classification response of decision variables
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A note on the relationship between high-frequency trading and latency arbitrage
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A dual prediction strategy with inverse model for evolutionary dynamic multiobjective optimization
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Simultaneous sizing, shape, and layout optimization and automatic member grouping of dome structures
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DE/current−to−better/1 : A new mutation operator to keep population diversity
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Neuroevolution as a tool for microarray gene expression pattern identification in cancer research
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A preference-based demand response mechanism for energy management in a microgrid
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Reinforced concrete structural design optimization: A critical review
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Estimation of financial agent-based models with simulated maximum likelihood
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Solving multi-objective water management problems using evolutionary computation
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Experimental analysis of a statistical multiploid genetic algorithm for dynamic environments
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Parallel pump and chiller system optimization method for minimizing energy consumption based on a novel multi-objective gorilla troops optimizer
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