A multiobjective optimization problem involves several conflicting objectives and has a set of
Pareto optimal solutions. By evolving a population of solutions, multiobjective evolutionary …

This paper reviews the application of multiobjective optimization in the fields of
bioinformatics and computational biology. A survey of existing work, organized by …

Recently, with increasing attention paid to energy production and ecological protection, the
hydropower reservoirs operation balancing generation benefit and ecological requirement is …

A novel multiobjective optimization immune algorithm in dynamic environments, as
associated with Pareto optimality and immune metaphors of germinal center in the immune …

Chemical reactors are employed to produce several materials, which are utilized in
numerous applications. The wide use of these chemical engineering units shows their …

We propose a decision-making framework to compute compromise solutions that balance
conflicting priorities of multiple stakeholders on multiple objectives. In our setting, we shape …

Dynamic optimization or optimal control problems are omnipresent in the (bio) chemical
industry. In addition, these problems often involve multiple and conflicting objectives …

A bio-inspired artificial immune system is developed to track dynamically the Pareto fronts of
time-varying constrained multi-objective problems with changing variable dimensions. It …

The increasingly widespread use of vacuum assisted technologies in the manufacture of
polymer-composite structures does not always provide the required product quality and …

Petlyuk sequences are a very promissory option to reduce energy consumption and capital
costs in distillation. The optimal design of Petlyuk sequence implies determining 8 integers …