Numerical and Evolutionary Optimization 2024

<p><span style=color: rgba(23 43 77 1)>This Special Issue was inspired by the 11th International Workshop on Numerical and Evolutionary Optimization (NEO 2024) held from 3 to 6 September 2024 in Mexico City Mexico and hosted by Cinvestav. Solving real-world scientific and engineering problems has always been a challenge and the complexity of these tasks has increased in recent years as more sources of data and information have been continuously developed. Thus the design and analysis of powerful search and optimization techniques is of great importance. Two well-established fields that focus on this task are (i) traditional numerical optimization techniques and (ii) bio-inspired metaheuristic methods. Both of these general approaches have unique strengths and weaknesses allowing researchers to solve certain challenging problems while failing to solve others. The goal of the NEO workshop series is to gather experts from both fields to discuss compare and merge these complementary perspectives. Collaborative work allows researchers to maximize the strengths and minimize the weaknesses of both paradigms. NEO also intends to help researchers in these fields to understand and tackle real-world problems like pattern recognition routing energy lines of production prediction and modeling among others.</span></p>