This paper presents a new multi-objective discreet learnable evolution model (MODLEM) to
address the vehicle routing problem with time windows (VRPTW). Learnable evolution …

In this paper, an automatic design method based on a swarm intelligence approach for
CMOS analog integrated circuit (IC) design is presented. The hybrid meta-heuristics …

CMOS operational amplifiers are widely used in internet of things (IoT) systems due to their
excellent performance at low input voltage. However, the design and optimization of high …

Multiobjective optimization problems have multiple conflicting objective functions to be
optimized simultaneously. The solutions to these problems are known as Pareto optimal …

ABSTRACT A new multi-objective non-Darwinian-type evolutionary computation approach
based on learnable evolution model (LEM) is proposed for solving the robot path planning …

The design process of analog circuits is a challenging issue due to the nonidealities. Thus,
analog IC design must be automated to shorten the design time and must be optimized to …

With the increased population in the big cities, Internet of Things (IoT) devices to be used as
automated monitoring systems are required in many of the Smart city's applications …

When performing multi-objective optimization of analog integrated circuits (ICs) by applying
evolutionary algorithms (EAs), one challenge is the proper selection of both the design …

A new non-Darwinian-type evolutionary computation approach based on learnable
evolution model is proposed for solving the shortest path problem in this article. Learnable …

Utilization of machine learning in electronics and in computer-aided design is in progress,
giving an opportunity the electronic circuits to be studied in a new way that also contributes …