Multi-label classification has gained in importance in the last decade and it is today
confronted to the current needs to process massive raw data from heterogeneous sources …

Expensive multi-objective optimization problems can be found in many real-world
applications, where their objective function evaluations involve expensive computations or …

The generation and updating of solutions, eg, crossover and mutation, of many existing
evolutionary algorithms directly operate on decision variables. The operators are very time …

To approximate the Pareto front, most existing multiobjective evolutionary algorithms store
the nondominated solutions found so far in the population or in an external archive during …

This paper proposes a multimodal multiobjective Differential Evolution optimization
algorithm (MMODE). The technique is conceived for deployment on problems with a Pareto …

Recently, increasing works have been proposed to drive evolutionary algorithms using
machine-learning models. Usually, the performance of such model-based evolutionary …

Building-integrated photovoltaics (BIPV) is an excellent renewable energy application for
building envelopes. In Australia, BIPV roofing is considered to be promising because of …

Recently, modern businesses have started to transform into cloud computing platforms to
deploy their workflow applications. However, scheduling workflow under resource allocation …

Conventional multiobjective optimization algorithms (MOEAs) with or without preferences
are successful in solving multi-and many-objective optimization problems. However, a …

Many real-world optimization problems have more than three objectives, which has
triggered increasing research interest in developing efficient and effective evolutionary …