1 code implementation • 5 Apr 2024 • GianCarlo Catalano, Alexander E. I. Brownlee, David Cairns, John McCall, Russell Ainslie
Genetic Algorithms have established their capability for solving many complex optimization problems.
no code implementations • 7 Feb 2024 • Leonardo C. T. Bezerra, Alexander E. I. Brownlee, Luana Ferraz Alvarenga, Renan Cipriano Moioli, Thais Vasconcelos Batista
Our online, publicly-available VADER framework scores the coverage of premises that should underlie AI definitions for regulation, which aim to (i) reproduce principles observed in other successful technology regulations, and (ii) include all AI techniques and approaches while excluding non-AI works.
no code implementations • 28 Jan 2024 • Gautam Siddharth Kashyap, Jatin Sohlot, Ayesha Siddiqui, Ramsha Siddiqui, Karan Malik, Samar Wazir, Alexander E. I. Brownlee
By the end of April 2021, the world has recorded 144, 358, 956 confirmed cases of novel-coronavirus disease (Covid-19) including 3, 066, 113 deaths according to the world health organization (WHO).
no code implementations • 28 Nov 2023 • Gautam Siddharth Kashyap, Deepkashi Mahajan, Orchid Chetia Phukan, Ankit Kumar, Alexander E. I. Brownlee, Jiechao Gao
In this study, we present a novel hybrid algorithm, combining Levy Flight (LF) and Particle Swarm Optimization (PSO) (LF-PSO), tailored for efficient multi-robot exploration in unknown environments with limited communication and no global positioning information.
no code implementations • 18 Oct 2023 • Alexander E. I. Brownlee, James Callan, Karine Even-Mendoza, Alina Geiger, Carol Hanna, Justyna Petke, Federica Sarro, Dominik Sobania
We find that the number of patches passing unit tests is up to 75% higher with LLM-based edits than with standard Insert edits.
no code implementations • 4 Jun 2023 • Gautam Siddharth Kashyap, Alexander E. I. Brownlee, Orchid Chetia Phukan, Karan Malik, Samar Wazir
The well-known Vehicle Routing Problem with Time Windows (VRPTW) aims to reduce the cost of moving goods between several destinations while accommodating constraints like set time windows for certain locations and vehicle capacity.
no code implementations • 31 May 2022 • Manjinder Singh, Alexander E. I. Brownlee, David Cairns
Through mining the surrogate model we can build a picture of the learning process of a GA, and thus an explanation of the solution presented by the GA.
no code implementations • 19 Nov 2020 • Jerry Swan, Steven Adriaensen, Alexander E. I. Brownlee, Kevin Hammond, Colin G. Johnson, Ahmed Kheiri, Faustyna Krawiec, J. J. Merelo, Leandro L. Minku, Ender Özcan, Gisele L. Pappa, Pablo García-Sánchez, Kenneth Sörensen, Stefan Voß, Markus Wagner, David R. White
We describe our vision and report on progress, showing how the adoption of common protocols for all metaheuristics can help liberate the potential of the field, easing the exploration of the design space of metaheuristics.