Computational steering of a multi-objective evolutionary algorithm for engineering design

Computational steering of a multi-objective evolutionary algorithm for engineering design

The execution process of a evolutionary algorithm typically involves some trial-and-error. This is due to the difficulty in setting the initial parameters of the algorithm especially when little is known about the problem domain. This problem is magnified when applied to many-objective optimisation, as care is needed to ensure that the final population of candidate solutions is representative o...

Multi-objective optimization design of plate-fin heat sinks using an Evolutionary Algorithm Based On Decomposition

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Multi-Objective Evolutionary Algorithms for Engineering Shape Design

A Hybrid Multi-objective Evolutionary Approach to Engineering Shape Design

Evolutionary optimization algorithms work with a population of solutions, instead of a single solution. Since multi-objective optimization problems give rise to a set of Pareto-optimal solutions, evolutionary optimization algorithms are ideal for handling multi-objective optimization problems. Over many years of research and application studies have produced a number of efficient multi-objectiv...

Multi-objective evolutionary algorithms for a preventive healthcare facility network design

Preventive healthcare aims at reducing the likelihood and severity of potentially life-threatening illnesses by protection and early detection. In this paper, a bi-objective mathematical model is proposed to design a network of preventive healthcare facilities so as to minimize total travel and waiting time as well as establishment and staffing cost. Moreover, each facility acts as M/M/1 queuin...