The answer is called "thinning," but requires you to know the global maximum arrival rate λmax. Generate arrivals at rate λmax, but for each generated arrival at time t, only execute the arrival event with probability λt/λmax. You can do this by generating a uniform(0,1) random number U for each...

This is just an elaboration of the comment by @Mars. to-report hit-strength let %draw (random-float 100) let %strength 0 ;; no damage if (%draw < 50) [set %strength (%strength + 1)] ;;1 for little damage if (%draw < 10) [set %strength (%strength + 1)] ;;2 for middle damage if (%draw...

random,brute-force,stochastic,sat-solvers,sat

State-of-art sat solver currently uses CDCL(Conflict Drive Clause Learning) based on the DPLL.

algorithm,heuristics,stochastic

TTBOMK, "stochastic algorithm" is not a standard term. "Randomized algorithm" is, however, and it's probably what is meant here. Randomized: Uses randomness somehow. There are two flavours: Monte Carlo algorithms always finish in bounded time, but don't guarantee an optimal solution, while Las Vegas algorithms aren't necessarily guaranteed to finish...

java,algorithm,simulated-annealing,stochastic,hill-climbing

The left hand side of the equation p will be a double between 0 and 1, inclusively. oldFitness, newFitness and T can also be doubles. You will have something similar to this in your code: double p = 1 / (1 + Math.exp((oldFitness - newFitness) / T)); if (Math.random() <...