Abstract Bioelectrochemical Systems (BESs) leverage microbial metabolic processes to
either produce electricity by degrading organic matter or consume electricity to assist …

Nature-inspired metaheuristic algorithms have attracted much attention in the last decade,
and new algorithms have emerged almost every year with a vast, ever-expanding literature …

This paper proposes a computational modeling for image filtering processes based on the
Cartesian Genetic Programming (CGP) methodology, suitable for hardware devices. A …

Grammatical evolution (GE) is a combination of genetic algorithm and context-free grammar,
evolving programs for given problems by breeding candidate programs in the context of a …

The physical properties of cement are strongly influenced by the development of
microstructure and cement hydration. Therefore, the investigation of microstructure for …

Though synchronous dataflow (SDF) graph has been a successful input specification
language for digital signal processing (DSP) applications, lack of support for global states …

Many deficiencies with grammatical evolution (GE) such as inconvenience in solution
derivations, modularity analysis, and semantic computing can partly be explained from the …

Predicting the properties of materials like concrete has been proven a difficult task given the
complex interactions among its components. Over the years, researchers have used …

In this work we present an extensive bibliometric and content-based analysis of the scientific
literature about genetic programming in the twenty-first century. Our work has two key …

This work addresses the well-known capacitated lot sizing problem (CLSP) which is proven
to be an NP-hard optimization problem. Simple period-by-period heuristics are popular …