Metaheuristic algorithms are widely used heuristic algorithms, which include the tabu search algorithm, simulated annealing algorithm, genetic algorithm, ant colony optimization algorithm, particle swarm optimization algorithm, artificial fish swarm algorithm, artificial bee colony algorithm, and artificial neural...
This algorithm is currently integrated into the company’s ERP and used for daily operations. In addition, by using the solutions generated by the metaheuristic algorithm as input to the mathematical model, a significant improvement in the resolution of large instances is achieved. 3.1 Metaheuristic ...
A new meta-heuristic Pathfinder Algorithm (PFA) is adopted in this paper for optimal allocation and simultaneous integration of a solar photovoltaic system
In Section 2, we begin with providing a literature review on the SDEVSP. Section 3 formally describes the problem, the NDO constraints, and the formulation of the MILP model. Section 4 outlines a greedy algorithm heuristic and a simulated annealing metaheuristic to address the scalability concern...
This phrase is specifically used when discussing metaheuristics, which are higher-level strategies or algorithms for solving complex optimization problems. Alternatives: (meta) heuristic metaheuristic meta-heuristic heuristic algorithm optimization heuristic ...
Algorithm Prototyping Evolutionary Algorithms Genetic Programming Data Analysis and Symbolic Regression Simulation-based Optimization Experiment Design and Analysis Plugin-based Architecture Awards In May 2009 we submitted HeuristicLab for the Microsoft Innovation Award 2009. Both, an expert jury and a public ...
This algorithm is based on one-dime... A Kaveh,VR Mahdavi - 《Computers & Structures》 被引量: 174发表: 2014年 An Electromagnetism-Like Meta-Heuristic for Multi-Objective Optimization This paper presents an algorithm based on the electromagnetism-like mechanism (EM) to solve multi-objective ...
The determination of Vs profiles reached a depth of 750 m. Two methods were used to estimate the Swavevelocity structure: Inversion method and a heuristic method via the combination of Downhill Simplex Algorithm with a Very Fast Simulated Annealing Method. Comparisons with Vs from the existent...
It is basically an extension of the algorithm of Johnson [20]. The CDS creates m−1 problems with of two “virtual” machines, each of them containing some of the original m machines. Johnson's algorithm is then applied to the m−1 problems with two virtual machines and m−1 ...
A heuristic solution in computer science refers to a simple algorithm designed to quickly address a problem, even though it may not always provide the optimal solution. These solutions are easy to implement, do not require specialized tools, and are commonly used in tasks like optimizing resource...