Results 41 to 50 of about 1,538,880 (162)
Научный вестник МГТУ ГА, 2018 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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A matheuristic for the traveling salesman problem with positional consistency constraints
International Transactions in Operational Research, EarlyView.Abstract We propose a matheuristic for the traveling salesman problem with positional consistency constraints, where we seek to generate a set of routes with minimum total cost, in which the nodes visited in more than one route (consistent nodes) must occupy the same relative position in all routes.
Luís Gouveia, Ana Paias, Mafalda Ponte
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A unified formulation for home healthcare routing and scheduling problems
International Transactions in Operational Research, EarlyView.Abstract Home Healthcare is an essential component of healthcare systems, where caregivers visit patients' homes to deliver services. While presenting advantages with respect to institutional care, such as being cost‐effective and alleviating family burdens, it presents challenges in scheduling and routing caregivers efficiently.
Sara Ceschia +7 more
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International Journal of Computational Intelligence SystemsDifferential evolution (DE) represents a class of population-based optimization techniques that uses differences of vectors to search for optimal solutions in the search space.
Miguel Leon +3 more
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Solving the rotating seru production problem with dynamic multi-objective evolutionary algorithms
Journal of Management Science and Engineering, 2022 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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Advances in Hybrid Evolutionary Computation for Continuous Optimization [PDF]
, 2011 Evolutionary Algorithms (EAs) are a set of optimization techniques that have become highly popular in recent decades. One of the main reasons for this success is that they provide a general purpose mechanism for solving a wide range of problems.
Muelas Pascual, Santiago
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Production routing decisions in a two‐echelon supply chain with multiple delivery modes
International Transactions in Operational Research, Volume 33, Issue 5, Page 3385-3421, September 2026.Abstract We study an original two‐echelon production routing problem with multiple delivery modes (2E‐PRP‐MDM). In the first echelon, the primary production facility is tasked with satisfying the demands of two distinct entities: a set of warehouses and a set of customers through direct shipments. In the second echelon, warehouses become delivery hubs,
Rachida Benfedel +2 more
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Local search in memetic algorithms [PDF]
, 2006 Memetic algorithms are popular randomized search heuristics combining evolutionary algorithms and local search. Their efficiency has been demonstrated in countless applications covering a wide area of practical problems.
Sudholt, Dirk
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Journal of Computer Science and Technology, 2005 This work is focussed on the development and analysis of a new class of algorithms, called cellular memetic algorithms (cMAs), which will be evaluated here on the satisfiability problem (SAT). For describing a cMA, we study the effects of adding specific
Enrique Alba Torres +2 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]
چشمانداز مدیریت صنعتی, 2015 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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