Abstract: Differential evolution exhibits strong performance in real parameter single objective optimization. Ensemble of similar differential evolution algorithms has been proposed in literature.
Abstract: Learning differential evolution (DE) algorithms are widely adopted to address flexible job-shop scheduling problems (FJSPs) because of the optimization ability. However, traditional learning ...
For centuries, engineers have turned to nature for inspiration. Leonardo da Vinci dreamed of gliding machines that would mimic birds. Today, the close study of animals and plants is leading to ...
ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
Optimization of CMOS-based amplifier circuit that converges to the optimal solution in very less time. Differential evolution is used in this optimization.
2D irregular shape bin-cutting with heterogenous bins using evolutionary metaheuristics, Particle Swarm Optimization (PSO) and Differential Evolution (DEGL). In python, using shapely. The ...
ABSTRACT: The option pricing model can predict the future trend of the financial market. In order to more accurately describe the changing process of the financial market, the Hurst index which can ...
In recent years, due to rapid fossil fuel depletion (Peng et al., 2020), booming global energy demand (Shangguan et al., 2020a), and a series of severe eco-environmental problems (Yang et al., 2015), ...
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