Abstract: In this paper, a novel general class of optimality criteria is defined and proposed to solve multi-objective optimization problems by using evolutionary algorithms. These criteria, named ...

A recent study has revealed that specific patterns of gene activity serve as a hidden map that guides the complex wiring of the entire brain. By using machine learning to analyze mouse brain data, ...

This is a modern implementation of the Hybrid Genetic Search (HGS) with Advanced Diversity Control of [1], specialized to the Capacitated Vehicle Routing Problem (CVRP). This algorithm has been ...

Abhik Biswas is the Co-Founder and CTO at Prakat Solutions Inc, writes to bridge scientific insights with practical engineering. Nature is not merely a source of inspiration for designers and ...

Many common mental health disorders, including depression and anxiety, are associated with a tendency to internalize problems or, in other words, to direct feelings inwards instead of expressing them ...

Abstract: Optimal design is an inevitable step for parallel manipulators. The formulated optimal design problems are generally constrained, nonlinear, multimodal, and even without closed-form ...

When I was a teenager, I remember giving my dad a ride in my Chevy Monte Carlo. We weren’t even into our second mile when he said, “How long has it been making that growling noise when you start to ...

Gene Expression Programming (GEP) is a popular and established evolutionary algorithm for automatic generation of computer programs and mathematical models. It has found wide applications in symbolic ...

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The research team (NEAL) from the University of South China has made significant progress in nuclear reactor radiation-shielding design. The team has developed a radiation-shielding optimization ...

Department of Optics and Photonics, National Central University, Taoyuan 320371, Taiwan Optical Science Center, National Central University, Taoyuan 320371, Taiwan ...