Results 31 to 40 of about 2,294,625 (144)
Discovering the Rules of Data Mining Classification using Distributed Memetic Algorithm [PDF]
In distributed population systems, cohesive structures prevail, playing a crucial role in the evolution of species across different sites and fostering diversity.
Mohammadreza Dehghanimahmoudabadi +1 more
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A Comprehensive Robust Bi-objective Model and a Memetic Solution Algorithm for Designing Reverse Supply Chain Network under Uncertainty [PDF]
One of the major issues in a reverse supply chainmanagement is dealing with returned productsthrough a reverse logistics while considering uncertainty and non-financial performance measures alongside the more traditional financial measures. In this paper,
Aliakbar Hasani +1 more
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We propose a memetic algorithm for the multiple-choice multidimensional knapsack problem (MMKP). In this study, we focus on finding good solutions for the MMKP instances, for which feasible solutions rarely exist.
Jaeyoung Yang +2 more
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Distributed Dynamic Memetic Algorithm Based Coding Aware Routing for Wireless Mesh Sensor Networks
Network coding has been confirmed as a potential technology to improve performance of wireless mesh networks (WMNs); network coding has great advantages for sensor networks like minimization of communication needed to collect sensor data and error ...
Saeed Hamam, Ahmad S. Almogren
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Solving the rotating seru production problem with dynamic multi-objective evolutionary algorithms
Today's volatile market conditions in electronic industries have lead to a new production system, seru (which is the Japanese pronunciation for cell), and has been widely implemented in hundreds of Japanese and other Asia companies.
Feng Liu, Kan Fang, Jiafu Tang, Yong Yin
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A Memetic Lagrangian Heuristic for the 0-1 Multidimensional Knapsack Problem
We present a new evolutionary algorithm to solve the 0-1 multidimensional knapsack problem. We tackle the problem using duality concept, differently from traditional approaches. Our method is based on Lagrangian relaxation.
Yourim Yoon, Yong-Hyuk Kim
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The application of hybrid memetic algorithm of global constrained optimization in the search optimal control of nonlinear stochastic systems problem is researched in the paper.
A. V. Panteleev, V. N. Panovskiy
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This paper applies a memetic algorithm, MA, to solve a stochastic facility location problem. This MA is constructed by combining a genetic algorithm with a local search operator. The problem consists on determining the best locations in which to place
Silvia Casado +3 more
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Memes Evolution in a Memetic Variant of Particle Swarm Optimization
In this work, a coevolving memetic particle swarm optimization (CoMPSO) algorithm is presented. CoMPSO introduces the memetic evolution of local search operators in particle swarm optimization (PSO) continuous/discrete hybrid search spaces.
Umberto Bartoccini +3 more
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Search Trajectory Networks Applied to the Cyclic Bandwidth Sum Problem
Search trajectory networks (STNs) were proposed as a tool to analyze the behavior of metaheuristics in relation to their exploration ability and the search space regions they traverse.
Valentina Narvaez-Teran +2 more
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