NDLI: Optimizing booster stations

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The unrestricted black-box complexity of jump functions

A novel iterative improvement pivoting rule for local search heuristics

Particle swarm optimization based on island models

Ecological modularity as a means to reduce necessary training environments in evolutionary robotics

Procedural level design using an interactive cellular automata genetic algorithm

A new evolutionary approach using pre-post testing to trigger exploration and exploitation in DOPs

Evidential learning classifier system

Towards an epigenetics-inspired control system for power dispatch problem

On the mutual information as a fitness landscape measure

On the exploitation of search history and accumulative sampling in robust optimisation

Synergies between evolutionary computation and multiagent reinforcement learning: the benefits of exchanging solutions

Evolving texture image descriptors using a multitree genetic programming representation

Multiobjective evolutionary algorithms for operational planning problems in open-pit mining

Software change prediction using voting particle swarm optimization based ensemble classifier

Analyzing search heuristics with differential equations

Introduction to randomized continuous optimization

CMA-ES and advanced adaptation mechanisms

Intelligent systems for smart cities

A baseline-realistic objective open-ended kinematics simulator for evolutionary robotics

Towards a method for automatically selecting and configuring multi-label classification algorithms

Chairs' welcome for GECCO'17 workshop "evolution in cognition"

In hypercubo nigrae capsulae optimum

Towards coding strategies for forecasting-based scheduling in smart grids and the energy lab 2.0

Artificial bee colony framework to non-convex economic dispatch problem with valve point effects: a case study

Classifier systems with native fuzzy logic control operation

A comparative study of the EEG signals big optimization problem using evolutionary, swarm and memetic computation algorithms

On binary unbiased operators returning multiple offspring

Return-oriented programme evolution with ROPER: a proof of concept

Instance-based algorithm selection on quadratic assignment problem landscapes

Deep parameter optimisation on Android smartphones for energy minimisation: a tale of woe and a proof-of-concept

Dynamic observation of genotypic and phenotypic diversity for different symbolic regression GP variants

Generating custom classification datasets by targeting the instance space

A surrogate-based evolutionary algorithm for highly constrained design problems

Toward self-adapting computation in cells: building spiking neural network with cell signaling pathways

Evolving robot swarm behaviors by minimizing surprise: results of simulations in 2-d on a Torus

Interactive tool for analyzing multiobjective optimization results with level diagrams

Energy-efficient environment mapping via evolutionary algorithm optimized multi-agent localization

Self-adaptive search equation-based artificial bee colony algorithm with CMA-ES on the noiseless BBOB testbed

Large scale optimization of computationally expensive functions: an approach based on parallel cooperative coevolution and fitness metamodeling

Multilayer optimization of heterogeneous networks using grammatical genetic programming

An approach of satellite periodic continuous observation task scheduling based on evolutionary computation

Parallel ant colony optimization for evacuation planning

Evolving cost functions for model predictive control of multi-agent UAV combat swarms

Gamification techniques in collaborative interactive evolutionary computation

How to get more from your model: the role of constructive selection in estimation of distribution algorithms

An upgraded bat algorithm for tuning extreme learning machines for data classification

Set-SMAA for finding preferable multi-objective solutions

A two-stage coevolution approach for constrained optimization

Automated case generation using a genetic algorithm

The baldwin effect on a memetic differential evolution for constrained numerical optimization problems

Late-acceptance and step-counting hill-climbing GP for anomaly detection

Genetic algorithms approaches for the production planning in the glass container industry

Simple problems: the simplicial gluing structure of pareto sets and pareto fronts

GECCO 2017 tutorial on evolutionary multiobjective optimization

Constraint-handling techniques used with evolutionary algorithms

Multiagent systems and agent-based modeling and simulation

Simulating the evolution of soft and rigid-body robots

Evolutionary computation for the automated design of category functions for fuzzy ART: an initial exploration

Cognitive cultural dynamics

ecr 2.0: a modular framework for evolutionary computation in R

Differential evolution strategies for large-scale energy resource management in smart grids

Multiobjective discovery of human-like driving strategies

Toward curious learning classifier systems: combining XCS with active learning concepts

Going through directional changes: evolving human movement classifiers using an event based encoding

Variable selection as a non-completely decomposable problem: a case study in multivariate calibration

Investigating coevolutionary archive based genetic algorithms on cyber defense networks

Analyzing deception, evolvability, and behavioral rarity in evolutionary robotics

From problem landscapes to language landscapes: questions in genetic improvement

A simple bucketing based approach to diversity maintenance

On the difficulty of benchmarking inductive program synthesis methods

Bayesian optimization approach of general bi-level problems

Optimisation and landscape analysis of computational biology models: a case study

Phylogeny of embodied evolutionary robotics

Spatial redistribution of irregularly-spaced pareto fronts for more intuitive navigation and solution selection

Instinct-driven dynamic hardware reconfiguration: evolutionary algorithm optimized compression for autonomous sensory agents

Benchmarking a pool-based execution with GA and PSO workers on the BBOB noiseless testbed

Multi-objective parallel extremal optimization in processor load balancing for distributed programs

On constructing ensembles for combinatorial optimisation

BBIOS: a characterization of evolutionary algorithm stability

Increasing the complexity of solutions produced by an evolutionary developmental system

Escher-like tiling design using hierarchical optimization

A memetic algorithm for computing multicriteria shortest paths in stochastic multimodal networks

Large scale evolution of convolutional neural networks using volunteer computing

A multi-objective continuous genetic algorithm for financial portfolio optimization problem

Interpolated continuous optimisation problems with tunable landscape features

A two-phase genetic algorithm for image registration

Randomized parameter settings for a pool-based particle swarm optimization algorithm: a comparison between dynamic adaptation of parameters and randomized parameterization

New geometric semantic operators in genetic programming: perpendicular crossover and random segment mutation

Development of a multi-model system to accommodate unknown misclassification costs in prediction of patient recruitment in multicentre clinical trials

An initial error analysis for evolutionary algorithms

Introduction to gene regulatory networks

Recent advances in evolutionary multi-criterion optimization (EMO)

Evolutionary robotics tutorial

20 years of reality gap: a few thoughts about simulators in evolutionary robotics

Comparing hyper-heuristics with blackboard systems

Context nodes in the operation of a long term memory structure for an evolutionary cognitive architecture

PonyGE2: grammatical evolution in Python

Evolving multi-objective neural networks using differential evolution for dynamic economic emission dispatch

Identifying a robust waste heat recovery system for varying hot water temperature demand

Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms

Genetic programming meets linear algebra: how genetic programming can be used to find improved iterative numerical methods

Administrating role-based access control by genetic algorithms

Exploiting active subspaces in global optimization: how complex is your problem?

Gaining insights into road traffic data through genetic improvement

A multi-objective decomposition-based evolutionary algorithm with enhanced variable space diversity control

CryptoBench: benchmarking evolutionary algorithms with cryptographic problems

Overview of surrogate-model versions of covariance matrix adaptation evolution strategy

On heuristic bias in fragment-assembly methods for protein structure prediction

Benefits of proportionate selection in embodied evolution: a case study with behavioural specialization

The DU map: a visualization to gain insights into genotype-phenotype mapping and diversity

Acquiring moving skills in robots with evolvable morphologies: recent results and outlook

Benchmarking CMAES-APOP on the BBOB noiseless testbed

A distributed framework for cooperation of many-objective evolutionary algorithms

Evolutionary algorithm with a directional local search for multiobjective optimization in combinatorial problems

Exploring the (efficient) frontiers of portfolio optimization

Automated pattern identification and classification: anomaly detection case study

Speeding up genetic algorithm-based game balancing using fitness predictors

A novel reduction algorithm for the generalized traveling salesman problem

Revisiting interval arithmetic for regression problems in genetic programming

Hybridizing non-dominated sorting algorithms: divide-and-conquer meets best order sort

A new grouping strategy-based hybrid algorithm for large scale global optimization problems

A computationally fast multimodal optimization with push enabled genetic algorithm

A multi-objective approach for the (α, β)-k-feature set problem using memetic algorithms

Semantic-based local search in multiobjective genetic programming

Applying particle swarm optimization to the motion-cueing-algorithm tuning problem

Evolutionary computation: a unified approach

Non-static parameter choices in evolutionary computation

Automated offline design of algorithms

Evaluating random forest models for irace

Learning highly diverse robot throwing movements through quality diversity search

evospace-js: asynchronous pool-based execution of heterogeneous metaheuristics

Restoration of power distribution networks: a fast evolutionary approach based on practical perspectives

Combining parallel coordinates with multi-objective evolutionary algorithms in a real-world optimisation problem

Evolutionary learning-based modeling for warfarin dose prediction in Chinese

Hierarchical surrogate modeling for illumination algorithms

The effect of landscape funnels in QAPLIB instances

Fixing bugs in your sleep: how genetic improvement became an overnight success

Genealogical distance as a diversity estimate in evolutionary algorithms

Performance testing of automated modeling for industrial applications

Enabling high-dimensional surrogate-assisted optimization by using sliding windows

Genetic improvement of computational biology software

Incorporating user feedback in embodied evolution

On the role of aesthetics in genetic algorithms applied to graph drawing

Comparison of ordinal and metric gaussian process regression as surrogate models for CMA evolution strategy

A study of self-adaptive semi-asynchronous evolutionary algorithm on multi-objective optimization problem

Effective visualisation of the high-dimensional pareto-optimal solutions

Optimizing LSTM RNNs using ACO to predict turbine engine vibration

Exploring divergence in soft robot evolution

A deep learning / neuroevolution hybrid for visual control

Multi-objectiveness in the single-objective traveling thief problem

Evolutionary learning of meta-rules for text classification

The MOEA/D algorithm with gaussian neighbourhoods for the multiobjective travelling salesman problem

Analysis of scaling for fitness landscape learning evolutionary computation based on CMA-ES

A hybrid genetic algorithm for deploying RSUs in VANETs based on inter-contact time

Load balance aware distributed differential evolution for computationally expensive optimization problems

Dynamic GP fitness cases in static and dynamic optimisation problems

Interactive evolutionary modelling of living complex food systems: freeze-drying of lactic acid bacteria

Theory for non-theoreticians

Exploratory landscape analysis: advanced tutorial at GECCO 2017

Evolutionary computation and cryptology

Recent developments in autoconstructive evolution

Towards the design and implementation of optimization networks in HeuristicLab

Optimizing booster stations

Forecasting glucose levels in patients with diabetes mellitus using semantic grammatical evolution and symbolic aggregate approximation

Optimization networks for real-world production and logistics problems

Genetic improvement of runtime and its fitness landscape in a bioinformatics application

A comparison of illumination algorithms in unbounded spaces

Identification of robust strain designs via tandem pFBA/LMOMA phenotype prediction

Validation of a learning and evolving robot swarm

Benchmarking the SMS-EMOA with self-adaptation on the bbob-biobj test suite

Asynchronous parallel cartesian genetic programming

Downscaling near-surface atmospheric fields with multi-objective genetic programming

Social trends in the iterated prisoner's dilemma

Is social learning more than parameter tuning?

Voxelbuild: a minecraft-inspired domain for experiments in evolutionary creativity

Parameter-less population pyramid with feedback

Autonomous intersection driving with neuro-evolution

Multiple reference points MOEA/D for feature selection

Non-parametric model of the space of continuous black-box optimization problems

A genetic algorithm with randomly shifted gray codes and local optimizations based on quadratic approximations of the fitness

Design choices for adapting bio-hybrid systems with evolutionary computation

Genetic programming with multi-layered population structure

ZCSR for targeting the optimal impedance in digital radio frequency matching box

A practical guide to benchmarking and experimentation

Solving complex problems with coevolutionary algorithms

Evolutionary computation in network management and security: GECCO 2017 tutorial

Design of an efficient hyper-heuristic algorithm CMA-VNS for combinatorial black-box optimization problems

flaccogui: exploratory landscape analysis for everyone

Amplitude-oriented mixed-type CGP classification

Learning from super-mutants: searching post-apocalyptic software ecosystems for novel semantics-preserving transforms

An evolutionary algorithm to model structural excursions of a protein

Benchmarking the novel CMA-ES restart strategy using the search history on the BBOB noiseless testbed

Designing bent boolean functions with parallelized linear genetic programming

Solving order/degree problems by using EDA-GK

Benefits of lamarckian evolution for morphologically evolving robots

Comparing multimodal optimization and illumination

A model-based genetic algorithm framework for constrained optimisation problems

Automated state feature learning for actor-critic reinforcement learning through NEAT

Solving electoral zone design problems with NSGA-II: application to redistricting in Mexico

Ordinal versus metric gaussian process regression in surrogate modelling for CMA evolution strategy

Overlapping community detection in social networks using a quantum-based genetic algorithm

Neural network topology and weight optimization through neuro differential evolution

An empirical study on the parametrization of cartesian genetic programming

A comparison of fitness functions in a genetic algorithm for acoustic-articulatory parameter inversion of vowels

Runtime analysis of population-based evolutionary algorithms: introductory tutorial at GECCO 2017

Evolutionary large-scale global optimization: an introduction

ECJ then and now

Evaluation of a genetic representation for outline shapes

Improving SSE parallel code with grow and graft genetic programming

A protein folding model using the face-centered cubic lattice model

Integrating surrogate evaluation model and asynchronous evolution in multi-objective evolutionary algorithm for expensive and different evaluation time

A bi-objective memetic algorithm proposal for solving the minimum sum coloring problem

Precomputation for rapid hypothesis generation in evolutionary robotics

The menu planning problem: a multiobjective approach for Brazilian schools context

cCube: a cloud microservices architecture for evolutionary machine learning classification

Distributed NSGA-II with migration using compensation on many-core processors for improving performance and accuracy

Adaptiveness of CMA based samplers

Introducing the cumulation to the population based incremental learning and the compact GA to relax genetic drift

A parallel hybrid GA-PSO approach with dynamic rule-based parameter setting

Evolutionary linear discriminant analysis for multiclass classification problems

Developing proactive defenses for computer networks with coevolutionary genetic algorithms

Fitness landscape characterisation of optimisation problems: GECCO 2017 tutorial

Sequential experimentation by evolutionary algorithms

Multijob: a framework for efficient distribution of evolutionary algorithms for parameter tuning

Evaluation of heavy-tailed mutation operator on maximum flow test generation problem

Evolving software building blocks with FINCH

Island-cellular model differential evolution for large-scale global optimization

Solving a large sudoku by co-evolving numerals

A developmental artificial neural network model for solving multiple problems

Modeling optimization algorithm runtime behavior and its applications

The role of conditional independence in the evolution of intelligent systems

An improved MOEA/D utilizing variation angles for multi-objective optimization

A computationally efficient gravitational search algorithm

Indicator-based multi-objective genetic programming for workflow scheduling problem

Long-term evolution of genetic programming populations

Toward a smart mobility system: integrating electric vehicles within smart cities

Evolution of neural networks

Expressive genetic programming: concepts and applications

Design and architecture of the jMetaISP framework

Econometric genetic programming outperforms traditional econometric algorithms for regression tasks

New operators for non-functional genetic improvement

Parallel optimization of transistor level circuits using cartesian genetic programming

Multi-document summarization using evolutionary multi-objective optimization

The EMeRGE modular robot, an open platform for quick testing of evolved robot morphologies

Efficient quantitative heuristics for graph clustering

Low-power FSM synthesis using a fuzzy c-mean clustering-based decomposition

Modified box constraint handling for the covariance matrix adaptation evolution strategy

Improving k-means clustering with genetic programming for feature construction

Scheduling a continues galvanization line using genetic algorithm

Genetic programming: a tutorial introduction

Generative and developmental systems tutorial

MYRA: a Java ant colony optimization framework for classification algorithms

An investigation of topological choices in FS-NEAT and FD-NEAT on XOR-based problems of increased complexity

Modelling genetic improvement landscapes with local optima networks

A distributed implementation using apache spark of a genetic algorithm applied to test data generation

Discovering weekly seasonality for water demand prediction using evolutionary algorithms

GP-based motion control design for the double-integrator system subject to velocity constraint

Clustering of hyper-heuristic selections using the Smith-Waterman algorithm for offline learning

Stability selection using a genetic algorithm and logistic linear regression on healthcare records

Learning figure-ground image segmentors by genetic programming

Community detection in power grids by an evolutionary method

Representations for evolutionary algorithms

Theory of swarm intelligence: tutorial at GECCO 2017

PyshGP: PushGP in Python

Reinforcement learning based dynamic selection of auxiliary objectives with preservation of the best found solution

Hyper-parameter selection in deep neural networks using parallel particle swarm optimization

Utilization of infeasible solutions in MOEA/D for solving constrained many-objective optimization problems

Balancing selection pressures, multiple objectives, and neural modularity to coevolve cooperative agent behavior

A fast heuristic algorithm for the critical node problem

Linear combinations of features as leaf nodes in symbolic regression

Late-acceptance hill-climbing with a grammatical program representation

A hybrid genetic algorithm for climate input features and neural network parameters selection

Hyper-heuristics tutorial

Next generation genetic algorithms

Towards evolutionary machine learning comparison, competition, and collaboration with a multi-cloud platform

Hybridisation of artificial bee colony algorithm on four classes of real-valued optimisation functions

Embedding genetic improvement into programming languages

TensorFlow enabled genetic programming

Melody composition using geometric crossover for variable-length encoding

Evolutionary search for paths on protein energy landscapes

Using algorithm configuration tools to optimize genetic programming parameters: a case study

Automatically difficulty grading method of "instruction system" question bank based on knowledge tree

Model-based evolutionary algorithms: GECCO 2017 tutorial

Ant colony optimization with human-computer cooperative strategy for two-echelon vehicle routing problem

Exploiting diversity in an asynchronous migration model for distributed differential evolution

Evaluating island-based EAs on unstable networks with complex failure patterns

Embodied evolution versus cooperative coevolution in multi-robot optimization: a practical comparison

Visualizing genetic programming ancestries using graph databases

Fast 3D path planning based on heuristic-aided differential evolution

Introducing rule-based machine learning: capturing complexity

A parallel multi-objective cooperative co-evolutionary algorithm with changing variables

An efficient vector-growth decomposition algorithm for cooperative coevolution in solving large scale problems

Exploiting environmental differentiation to promote evolvability in artificial evolution

An effective diversity promotion mechanism in grammatical evolution

On evolutionary computation for moving target defense in software defined networks

Introductory statistics for EC: a visual approach

Optimization of solid waste collection: two ACO approaches

An evolutionary approach to behavioural morphometrics

Hierarchical grammatical evolution

Reducing systemic risk in multiplex networks using evolutionary optimization

General aspect-based selection concept for multi- and many-objective molecular optimization

Evolving S-boxes based on cellular automata with genetic programming

Single and multi-objective genetic algorithms for the container loading problem

Hierarchical pattern mining based on swarm intelligence

Feature selection using geometric semantic genetic programming

Computing a new central terminal for ECG recording using combined genetic algorithm and linear regression from real patient data

Multitask evolution with cartesian genetic programming

Massive asynchronous master-worker EA for nuclear reactor optimization: a fitness landscape perspective

PSXO: population-wide semantic crossover

Using desirability functions for many-objective optimization of a hybrid car controller

Evolutionary computation at work for the optimization of link state routing protocols

Application of a memetic algorithm to the fleet size and mix vehicle routing problem with electric modular vehicles

A genetic algorithm for hybrid VANETs with synchronous communication

Short versus long-term urban planning using multi-objective optimization

A fast hybrid evolutionary algorithm with inexact fitness evaluation for solving two-stage stochastic scheduling problems

Evolving sharing strategies in cybersecurity information exchange framework

Optimizing booster stations

Content Provider	ACM Digital Library
Author	Lorenz, Ulf Weber, Jonas B.
Abstract	Booster stations are fluid systems consisting of interconnected components such as pumps, pipes, valves and fittings. One of their main applications is to supply whole buildings or higher floors with drinking water if the supply pressure of the water company is not high enough to guarantee a continuous supply for all consumers. This means that a booster station must increase the pressure of supplied drinking water at a given time-variant flow rate. The consumer's demands must be matched at any time and the system operation is restricted by the general laws of fluid mechanics. A common approach to handle the corresponding optimization problem is to model it as a mixed integer linear program (MILP) and to solve this program using a standard MILP solver. This approach is not suitable for large problem instances with practical relevance as it is not possible to obtain good solutions in reasonable time. Hence, the main obstacle is the optimization speed. In this work, we present an approach to obtain good solutions in reasonable time even for large practical relevant instances. We do this by addressing the problem with heuristics from both the primal and dual side combined with the use of problem specific and technical knowledge. This approach is based on modeling the problem as a MILP as well as a mathematical graph and using both views simultaneously.
Starting Page	1303
Ending Page	1310
Page Count	8
File Format	PDF
ISBN	9781450349390
DOI	10.1145/3067695.3082482
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-07-15
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Technical operations research Pressure booster system Application of discrete mathematics System synthesis Booster station
Content Type	Text
Resource Type	Article

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