Evolutionary algorithms have been used to solve a number of variable-length problems,
many of which share a common representation. A set of design variables is repeatedly …

In real-world applications, a specific class of multiobjective optimization problems, such as
the cloud service allocation problem (CSAOPs), possess the characteristic of variable-length …

Many real world optimization problems are formulated as mixed-variable optimization
problems (MVOPs) which involve both continuous and discrete variables. MVOPs including …

This paper describes a new kind of genetic representation called analog genetic encoding
(AGE). The representation is aimed at the evolutionary synthesis and reverse engineering of …

This paper presents MOJITO, a system that performs structural synthesis of analog circuits,
returning designs that are trustworthy by construction. The search space is defined by a set …

In many optimization problems, one of the goals is to determine the optimal number of
analogous components to include in the system. Examples include the number of sensors in …

A new approach for automatic synthesis of analog electronic circuits based on grammatical
evolution is presented. Grammatical evolution is an evolutionary algorithm based on …

This paper proposes new techniques for automatic simulation-based analog circuit
synthesis using genetic algorithms. This is intended to contribute to the set of electronic …

Optimization problems with variable-length decision space are a class of challenging
optimization problems derived from some real-world applications, such as the composite …

Antimicrobial peptides (AMPs) are a promising alternative to small-molecules-based
antibiotics. These peptides are part of most living organisms' innate defense system. In order …