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Parallel memetic algorithm for optimal control of multi-stage catalytic reactions
This paper deals with a problem of optimal control of complex multi-stage chemical reactions which often impose complicated restrictions on control...
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Self-adaptive memetic firefly algorithm and CatBoost-based security framework for IoT healthcare environment
The Internet of Things (IoT), which has had a revolutionary influence on human existence, has become a topic of significant attention among the...
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Memetic Algorithms
This chapter is dedicated to memetic algorithms for diversity and dispersion problems. It is organized in two parts. The first part discusses the...
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A memetic algorithm for the inventory routing problem
In this article, we study an Inventory Routing Problem with deterministic customer demand in a two-tier supply chain. The supply chain network...
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A memetic procedure for global multi-objective optimization
In this paper we consider multi-objective optimization problems over a box. Several computational approaches to solve these problems have been...
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A bi-level model and memetic algorithm for arc interdiction location-routing problem
This paper investigates arc interdiction location-routing problem (AI-LRP), a new variant of the classical LRP. There are two decision-makers with...
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Stability analysis and memetic computation using differential evolution for in-host HIV model
Since the appearance of HIV, various mathematical models have been proposed to describe the dynamics of the disease. These models are helpful not...
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DSLS: a simple and efficient local search algorithm for the maximum bisection problem
The maximum bisection problem (max-bisection) belongs to a family of well-known graph partitioning problems with wide applications. In this study, we...
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A parallel greedy approach enhanced by genetic algorithm for the stochastic rig routing problem
Scheduling drilling activities for oil and gas exploration involves solving a problem of optimal routing of a fleet of vehicles that represent...
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A Parallel “Go with the Winners” Algorithm for Some Scheduling Problems
AbstractWe consider an approach to solving permutation scheduling problems using graphics accelerators. A parallel evolutionary algorithm based on...
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Low carbon flexible job shop scheduling problem considering worker learning using a memetic algorithm
Green low carbon flexible job shop problems have been extensively studied in recent decades, while most of them ignore the influence of workers. In...
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Solving the Multi Compartment Vehicle Routing Problem using a Hybridized Simulated Annealing Algorithm
This paper presents the Multi-Compartment Vehicle Routing Problem as an extension of the Vehicle Routing Problem that allows the transportation of...
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Computational aspects of cyclic voltammetry simulation for the case of porous electrodes of fractal structure
Considering the simulation of cyclic voltammetry response in the case of porous electrodes that exhibit fractal properties, we propose a numerical...
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Taguchi Analysis for Improving Optimization of Integrated Forward/Reverse Logistics
The distribution–allocation problem is known as one of the most comprehensive strategic decisions. In real-world cases, it is impossible to solve a...
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A linear ordering problem with weighted rank
This paper introduces an integer linear program for a variant of the linear ordering problem. This considers, besides the pairwise preferences in the...
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A Multi-Period Constrained Multi-Objective Evolutionary Algorithm with Orthogonal Learning for Solving the Complex Carbon Neutral Stock Portfolio Optimization Model
Financial market has systemic complexity and uncertainty. For investors, return and risk often coexist. How to rationally allocate funds into...
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Flexible job-shop scheduling with limited flexible workers using an improved multiobjective discrete teaching–learning based optimization algorithm
Flexible job-shop scheduling problem with worker flexibility (FJSPW) has been frequently investigated during the last decade. Many real-world...
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Genetic Algorithm for Solving the Problem of Optimizing Aircraft Landing Sequence and Times
AbstractWe consider the NP-hard problem of optimizing the sequence and times of aircraft landings under necessary constraints. It is impossible to...
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A Memetic Approach for the Unicost Set Covering Problem
The Unicost Set Covering Problem (USCP) is a well-known \(\mathcal {NP}\) -hard combinatorial optimization problem. This paper presents a memetic...
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Modeling and evolutionary algorithm for solving a multi-depot mixed vehicle routing problem with uncertain travel times
This paper deals with a multi-depot mixed vehicle routing problem under uncertain travel times (MDMVRP-UT), where there are several different depots...
