Aheuristic(hyu-'ris-tik) is the art and science of discovery and invention. The word comes from the same Greek root as "eureka" meaning "to find". A heuristic for a given problem is a way of directing your attention fruitfully to a solution. It is different from an algorithm in that ...
Dijkstra’s modified algorithm (\(D'\)): it stops when it goes through all the concepts. It does not necessarily get an optimal curriculum, but the computational cost is lower than Dijkstra’s algorithm in terms of teaching size calculations. Greedy algorithm (G): from any given state, it...
This article aims to develop a fast, trustworthy routing algorithm for autonomous vehicles without requiring learning data, where the routing problem with special constraints and features is an extended version of the orienteering problem. For this, firstly, the method for selecting trustworthiness requir...
Petering. Sequencing dual-spreader crane operations: Mathematical formulation and heuristic algorithm. European Journal of Op- erational Research, 262(2):521-534, 2017. URL: http://dx.doi.org/10.1016/j. ejor.2017.03.046, doi:10.1016/j.ejor.2017.03.046....
An algorithm provides step-by-step instructions for how to solve a specific problem in a finite number of steps. The resulting outcome is predictable and can be reliably reproduced when using the same input. In contrast, heuristic outcomes are simply educated guesses. Heuristic outcomes cannot be...
When developing optimisation algorithms, the focus often lies on obtaining an algorithm that is able to outperform other existing algorithms for some performance measure. It is not common practice to question the reasons for possible performance differences observed. These types of questions relate to ...
computer programmers aim to create the most efficient algorithms to accomplish various tasks. These may include simple processes like sorting numbers or complex functions such as processing images or video clips. Since these functions often accept a wide range of input, one algorithm may perform well...
In summarizing the points made, the main motivation of this study is to develop a hybrid simheuristic algorithm combining the EO, NSGA-II, and Monte Carlo simulation to leverage their strengths to tackle the FJSSP. The critical importance of integrating these methods lies in addressing the dual...
pathfinding algorithm uses a heuristic to find the shortest path in a graph. Each node has a cost which is calculated as . In this formula, is the actual cost of the node from the beginning of the path, and is its heuristic cost to reach the goal. is admissible, meaning that it alw...
Another feature that distinguishes our local search algorithm from the previous local search algorithms for the MBBP is that our algorithm only searches among valid solutions, meaning it guarantees that the candidate solution S after each step is always a balanced biclique. Although the previous EA/...