What is the difference between heuristics and metaheuristics?
May 4, 2012 · A metaheuristic is a high-level problem-independent algorithmic framework that provides a set of guidelines or strategies to develop heuristic optimization algorithms.
implementation of metaheuristics algorithms in R - Stack Overflow
Jan 28, 2012 · Where can I find some good tutorials with examples with free data, on how to implement metaheuristics algorithms in R ? I am asking this because I found lots of resources …
Optimization Approaches (Meta-heuristic, Graph-based, MILP)
Mar 6, 2018 · I am very new to algorithms, now working on some route optimization problems and came across some papers on the following approaches: Meta-heuristics Approach Population …
metaheuristic-algorithms-python throws import error but is …
Sep 20, 2016 · I can't import the metaheuristic-algorithms-python library after installing it in python. Why isn't this working? It is installed in my site-packages but it cannot be imported. …
Multi-Objective Optimization in genetic Algorithm - Stack Overflow
Mar 15, 2021 · I am very new to metaheuristic optimization. I am trying to solve a problem using genetic algorithm. I have 4 outputs: over-population under-population over-time under-time My …
Google Or-tools on python with own meta-heuristic
Jun 17, 2019 · I would like to solve a vehicle routing problem (vrp) using Google OR-Tools but with a meta-herustic different to the ones offered, which are: greedy descent, guided local …
Why greedy algorithm is heuristic, not meta-heuristic?
Jan 28, 2020 · AFAIK, heuristic algorithm is problem-dependent and meta-heuristic are problem-independent, according to this answer.1 But greedy algorithm can apply to many problems, …
python - How to use a first solution strategy as an initial solution ...
1- i'm trying to work on my Bachelor thesis with OR-Tools and i've landed on the question "How to use the first solution strategy as an initial solution for a local search metaheuristic?" I'm tryin...
What are the real differences between genetic algorithms and ...
Feb 7, 2012 · However, if we look closer, we can notice that both are metaheuristic optimization algorithms based on natural selection (crossover, selection, mutation) and both don't have a …
How can I optimise the weights of CNN using PSO?
Nov 3, 2017 · I want to optimize the weights of CNN using Particle Swarm Optimization. Basically weights are at penultimate layer and filters that are tobe optimised. The PSO replaces the …