Evolutionary Multi-Criterion Optimization
by Obayashi, Shigeru; Deb, Kalyanmoy; Poloni, Carlo; Hiroyasu, Tomoyuki; Murata, TadahikoFormat: Paperback
Pub. Date: 2007-03-28
Publisher(s): Springer Verlag
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Summary
This book constitutes the refereed proceedings of the 4th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2007, held in Matsushima, Japan in March 2007. The 65 revised full papers presented together with 4 invited papers were carefully reviewed and selected from 124 submissions. The papers are organized in topical sections on algorithm design, algorithm improvements, alternative methods, applications, engineering design, many objectives, objective handling, and performance assessments.
Table of Contents
| Aspiration level methods in interactive multi-objective programming and their engineering applications | p. 1 |
| Improving the efficacy of multi-objective evolutionary algorithms for real-world applications | p. 2 |
| Decision making in evolutionary optimization | p. 3 |
| MOEAs in the design of network centric systems | p. 4 |
| Controlling dominance area of solutions and its impact on the performance of MOEAs | p. 5 |
| Designing multi-objective variation operators using a predator-prey approach | p. 21 |
| Capabilities of EMOA to detect and preserve equivalent pareto subsets | p. 36 |
| Optimization of scalarizing functions through evolutionary multiobjective optimization | p. 51 |
| Reliability-based multi-objective optimization using evolutionary algorithms | p. 66 |
| Multiobjective evolutionary algorithms on complex networks | p. 81 |
| On gradient based local search methods in unconstrained evolutionary multi-objective optimization | p. 96 |
| Symbolic archive representation for a fast nondominance test | p. 111 |
| Design issues in a multiobjective cellular genetic algorithm | p. 126 |
| FastPGA : a dynamic population sizing approach for solving expensive multiobjective optimization problems | p. 141 |
| Constraint-handling method for multi-objective function optimization : Pareto descent repair operator | p. 156 |
| Steady-state selection and efficient covariance matrix update in the multi-objective CMA-ES | p. 171 |
| A multi-tiered memetic multiobjective evolutionary algorithm for the design of quantum cascade lasers | p. 186 |
| Local search in two-fold EMO algorithm to enhance solution similarity for multi-objective vehicle routing problems | p. 201 |
| Mechanism of multi-objective genetic algorithm for maintaining the solution diversity using neural network | p. 216 |
| Pareto evolution and co-evolution in cognitive game AI synthesis | p. 227 |
| The development of a multi-threaded multi-objective tabu search algorithm | p. 242 |
| Differential evolution versus genetic algorithms in multiobjective optimization | p. 257 |
| EMOPSO : a multi-objective particle swarm optimizer with emphasis on efficiency | p. 272 |
| A novel differential evolution algorithm based on e-domination and orthogonal design method for multiobjective optimization | p. 286 |
| Molecular dynamics optimizer | p. 302 |
| Sequential approximation method in multi-objective optimization using aspiration level approach | p. 317 |
| Multi-objective optimisation of a hybrid electric vehicle : drive train and driving strategy | p. 330 |
| Multiobjective evolutionary neural networks for time series forecasting | p. 346 |
| Heatmap visualization of population based multi objective algorithms | p. 361 |
| Multiplex PCR assay design by hybrid multiobjective evolutionary algorithm | p. 376 |
| ParadisEO-MOEO : a framework for evolutionary multi-objective optimization | p. 386 |
| Multi-objective evolutionary algorithms for resource allocation problems | p. 401 |
| Multi-objective pole placement with evolutionary algorithms | p. 417 |
| A multi-objective evolutionary approach for phylogenetic inference | p. 428 |
| On convergence of multi-objective pareto front : perturbation method | p. 443 |
| Combinatorial optimization of stochastic multi-objective problems : an application to the flow-shop scheduling problem | p. 457 |
| Evolutionary algorithm based corrective process control system in glass melting process | p. 472 |
| Bi-objective combined facility location and network design | p. 486 |
| Local search guided by path relinking and heuristic bounds | p. 501 |
| Rule induction for classification using multi-objective genetic programming | p. 516 |
| Combining linear programming and multiobjective evolutionary computation for solving a type of stochastic knapsack problem | p. 531 |
| Hybridizing cellular automata principles and NSGAII for multi-objective design of urban water networks | p. 546 |
| Using multiobjective evolutionary algorithms to assess biological simulation models | p. 560 |
| Improving computational mechanics optimum design using helper objectives : an application in frame bar structures | p. 575 |
| A multi-objective approach to the design of conducting polymer composites for electromagnetic shielding | p. 590 |
| Evolutionary multiobjective optimization of steel structural systems in tall buildings | p. 604 |
| Multi criteria decision aiding techniques to select designs after robust design optimization | p. 619 |
| MOGA-II for an automotive cooling duct optimization on distributed resources | p. 633 |
| Individual evaluation scheduling for experiment-based evolutionary multi-objective optimization | p. 645 |
| A multiobjectivization approach for vehicle routing problems | p. 660 |
| Designing traffic-sensitive controllers for multi-car elevators through evolutionary multi-objective optimization | p. 673 |
| On the interactive resolution of multi-objective vehicle routing problems | p. 687 |
| Radar waveform optimisation as a many-objective application benchmark | p. 700 |
| Robust multi-objective optimization in high dimensional spaces | p. 715 |
| Substitute distance assignments in NSGA-II for handling many-objective optimization problems | p. 727 |
| Pareto-, aggregation-, and indicator-based methods in many-objective optimization | p. 742 |
| Quantifying the effects of objective space dimension in evolutionary multiobjective optimization | p. 757 |
| Non-linear dimensionality reduction procedures for certain large-dimensional multi-objective optimization problems : employing correntropy and a novel maximum variance unfolding | p. 772 |
| I-MODE : an interactive multi-objective optimization and decision-making using evolutionary methods | p. 788 |
| Dynamic multi-objective optimization and decision-making using modified NSGA-II : a case study on hydro-thermal power scheduling | p. 803 |
| Acceleration of experiment-based evolutionary multi-objective optimization using fitness estimation | p. 818 |
| Prediction-based population re-initialization for evolutionary dynamic multi-objective optimization | p. 832 |
| Multi-multi-objective optimization problem and its solution by a MOEA | p. 847 |
| The hypervolume indicator revisited : on the design of pareto-compliant indicators via weighted integration | p. 862 |
| The multiple multi objective problem - definition, solution and evaluation | p. 877 |
| Adequacy of empirical performance assessment for multiobjective evolutionary optimizer | p. 893 |
| A comparative study of progressive preference articulation techniques for multiobjective optimisation | p. 908 |
| Test problems based on lame superspheres | p. 922 |
| Overview of artificial immune systems for multi-objective optimization | p. 937 |
| Table of Contents provided by Blackwell. All Rights Reserved. |
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