Titlebook: Applications of Evolutionary Computation; 24th International C Pedro A. Castillo,Juan Luis Jiménez Laredo Conference proceedings 2021 Sprin

水汽

Desirable Objective Ranges in Preference-Based Evolutionary Multiobjective Optimizationirable ranges for the objective functions, i.e. by means of aspiration and reservation levels. The aspiration levels are values to be achieved by the objectives, while the reservation levels are objective values not to be worsen. In the algorithm proposed, the first generations are performed using a

Longitude

不愛(ài)防注射

混雜人

Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Fes to build the models underlying the specific algorithm selection or configuration task. Our goal in this work is to analyze whether this many features are indeed needed. Using the classification of the BBOB test functions as testbed, we show that a surprisingly small number of features – often les

輕信

Co-optimising Robot Morphology and Controller in a Simulated Open-Ended Environmentmote in are evolved open-endedly with the Paired Open-Ended Trailblazer (POET). We compare the diversity, fitness and robustness of agents evolving in environments generated by POET to agents evolved in handcrafted curricula of environments. Our agents each contain of a population of individuals bei

蹣跚

Multi-objective Workforce Allocation in Construction Projectson project management area. We also perform a scenario-based analysis to understand how the approach reacts to changing environmental parameters (such as availability of resources). Finally, we discuss practical implications. Our empirical analysis highlights that the proposed approach improves sign

modifier

alabaster

Addictive

招募

Adaptive Covariance Pattern Search covariance matrix to build the pattern. ACPS is a restarting algorithm that at each restart recalculates the pattern that progressively adapts to the problem to optimise. Numerical results show that the proposed ACPS appears to be a promising approach on various problems and dimensions.