Results 71 to 80 of about 8,018,297 (258)
Simulated Kalman Filter: A Novel Estimation-based Metaheuristic Optimization Algorithm [PDF]
, 2016 In this paper, a new population-based metaheuristic optimization algorithm, named Simulated Kalman Filter (SKF) is introduced. This new algorithm is inspired by the estimation capability of the Kalman Filter.
Mohd Saberi, Mohamad +4 more
core +4 more sources
Artificial Intelligence ReviewNumerical optimization, Unmanned Aerial Vehicle (UAV) path planning, and engineering design problems are fundamental to the development of artificial intelligence. Traditional methods show limitations in dealing with these complex nonlinear models.
Shengwei Fu +5 more
semanticscholar +1 more source
, 2022 Performance of Gurobi as standalone algorithm and when used in the clustering metaheuristic (Random instances).
Almiqdad Elzein (13141038) +1 more
core +1 more source
AI &Innovation, EarlyView.ABSTRACT Maintaining an effective balance between exploration and exploitation is essential during optimization processes, from mathematical functions to more complex problems such as constrained engineering design optimization, particularly when addressing highly nonlinear issues with numerous local optima and strict feasibility requirements.
Enrique Lizárraga +3 more
wiley +1 more source
A metaheuristic approach for the set covering problem
, 2009 A metaheuristic algorithm is proposed for the solution of the Set Covering Problem. Computational results on benchmark instances from the literature show the effectiveness of the proposed ...
L. Galli, Z. Naji Azimi, TOTH, PAOLO
core +1 more source
A NEW METAHEURISTIC ALGORITHM MOTIVATED BY THE ROOTING PHENOMENA IN PLANTS [PDF]
, 2012 In this thesis, we present a new metaheuristic algorithm for analyzing challenging optimization problems. Initial testing reveals the potential for the algorithm, which is based on the rooting phenomena found in plants in nature, to quickly produce ...
Nemati, Behzad
core +1 more source
Biomimetics, 2023 A new metaheuristic algorithm called green anaconda optimization (GAO) which imitates the natural behavior of green anacondas has been designed. The fundamental inspiration for GAO is the mechanism of recognizing the position of the female species by the
M. Dehghani +2 more
semanticscholar +1 more source
, 2022 Performance of EA4OP as standalone algorithm and when used in the clustering metaheuristic (Random instances).
Almiqdad Elzein (13141038) +1 more
core +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study demonstrates how a profitable, lean, and environmentally responsible e‐waste reverse logistics system can be designed using integrated Operations Research (OR) techniques. Addressing the growing urgency of responsible consumption (UN SDG 12) and the projected rise of the e‐waste sector to USD 137.60 billion by 2029, the research ...
Sheeba Pathak, Hajar Fatorachian
wiley +1 more source
Automated Metaheuristic Algorithm Design With Autoregressive Learning [PDF]
IEEE Transactions on Evolutionary ComputationAutomated design of metaheuristic algorithms offers an attractive avenue to reduce human effort and gain enhanced performance beyond human intuition. Current automated methods design algorithms within a fixed structure and operate from scratch.
Qi Zhao +5 more
semanticscholar +1 more source