Narrow search
Showing 1 - 10 of 1,623
Cover Image
Metaheuristic Optimization Backgrounds : A Literature Review
Jarraya, Bilel; Bouri, Abdelfettah - 2019
Solving optimization problems becomes a central theme not only on operational research but also on several research areas like robotic, medicine, economic etc. The number of support decision problems that can be formalized as an optimization problem is growing rapidly. This study represents a...
Persistent link: https://www.econbiz.de/10014040437
Cover Image
Solving nonlinear stochastic optimal control problems using evolutionary heuristic optimization
Blueschke, Dmitri; Savin, Ivan - 2013
Policy makers constantly face optimal control problems: what controls allow to achieve certain targets in, e.g., GDP growth or inflation? Conventionally this is done by applying certain linear-quadratic optimization algorithms to dynamic econometric models. Several algorithms extend this...
Persistent link: https://www.econbiz.de/10010252386
Cover Image
Efficient Algorithms for Flexible Job Shop Scheduling with Parallel Machines
Kubiak, Wieslaw - 2020
-to-perform approximation algorithm that solves the problem optimally when k=1. A modification of the algorithm provides an optimal solution for … k=2. For k≥3, the algorithm approximates the optimal solution within an absolute worst-case error bound of k−1 …. Surprisingly, this error bound is independent of the number of jobs to be processed. Also and importantly, the proposed algorithm …
Persistent link: https://www.econbiz.de/10012838656
Cover Image
A New Heuristic Optimization : Search and Rescue Algorithm and Solving the Function Optimization Problems
Ozdemir, Muhlis - 2021
validity of this method called Search and Rescue Optimization Algorithm (AKOA), the technique applied to find the global …
Persistent link: https://www.econbiz.de/10013216281
Cover Image
Combinatorial Optimization Using Artificial Bee Colony Algorithm and Particle Swarm Optimization Supported Genetic Algorithm
Önder, Emrah - 2014
Combinatorial optimization problems are usually NP-hard and the solution space of them is very large. Therefore the set of feasible solutions cannot be evaluated one by one. Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) are metaheuristic techniques...
Persistent link: https://www.econbiz.de/10013060468
Cover Image
The Ultimatum Heuristic in Mixed-Motive Noncooperative Games
Sutcliffe, Dreux - 2020
Mixed-motive noncooperative games feature ambivalence in the competitive relation of the players and outcomes disobliging Nash equilibrium prescription. The Nash approach, ostensibly rational and self-maximizing, regularly advises strategy many players regard as counterintuitive or faulty. And...
Persistent link: https://www.econbiz.de/10012848925
Cover Image
The Ultimatum Heuristic in Sequential Move Noncooperative Games
Sutcliffe, Dreux - 2022
The ultimatum heuristic is a decision-making tendency discernible in graphical plots of mixed-motive noncooperative games. As such, it can serve also as a solution approach, backsolving, predicting and explaining outcomes better than the mainstay Nash equilibrium concept whenever data for the...
Persistent link: https://www.econbiz.de/10014079449
Cover Image
On adaptive heuristics that converge to correlated equilibrium
Bhattacharya, Ayan - In: Games 10 (2019) 1/6, pp. 11
I study the path properties of adaptive heuristics that mimic the natural dynamics of play in a game and converge to the set of correlated equilibria. Despite their apparent differences, I show that these heuristics have an abstract representation as a sequence of probability distributions that...
Persistent link: https://www.econbiz.de/10012015733
Cover Image
Ant algorithms and simulated annealing for multicriteria dynamic programming
Sitarz, Sebastian - In: Computers & operations research : and their … 36 (2009) 2, pp. 433-441
Persistent link: https://www.econbiz.de/10003795117
Cover Image
Exact and parallel metaheuristic algorithms for the single processor total weighted completion time scheduling problem with the sum-of-processing-time based models
Rudek, Radosław - In: Computers & operations research : and their … 46 (2014), pp. 91-101
Persistent link: https://www.econbiz.de/10010336124