This is a Python and Pyomo based implementation of the augmented ε-constraint (AUGMECON) method and its variants which can be used to solve multi-objective optimization problems, i.e., to return an ...

Lead optimization is the process by which a drug candidate is designed after an initial lead compound is identified. The process involves iterative rounds of synthesis and characterisation of a ...

David Kindness is a Certified Public Accountant (CPA) and an expert in the fields of financial accounting, corporate and individual tax planning and preparation, and investing and retirement planning.

This repository contains a Karush–Kuhn–Tucker (KKT) conditions-based solver designed for analytical non-linear optimization. It leverages the SymPy library to symbolically compute the gradients and ...

Abstract: Learning and optimization are the two essential abilities of human beings for problem solving. Similarly, computer scientists have made great efforts to design artificial neural network (ANN ...

Abstract: We propose a competitive approach for analysis and optimization of optical fiber performance. Taking into account the standard fiber fabrication cycle, we develop a model of highly ...