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Heuristic Search
This text has focused on the interaction of algorithms with data structures. Many of the algorithms presented in this text deal with search and how...
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Toward fast belief propagation for distributed constraint optimization problems via heuristic search
Belief propagation (BP) approaches, such as Max-sum and its variants, are important methods to solve large-scale Distributed Constraint Optimization...
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Learning TSP Combinatorial Search and Optimization with Heuristic Search
Traveling Salesman Problem (TSP) and similar combinatorial search and optimization problems have many real-world applications in logistics,...
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Heuristic search of optimal machine teaching curricula
In curriculum learning the order of concepts is determined by the teacher but not the examples for each concept, while in machine teaching it is the...
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Heuristic Search of Heuristics
How can we infer the strategies that human participants adopt to carry out a task? One possibility, which we present and discuss here, is to develop...
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BQA: a high-performance quantum circuits scheduling strategy based on heuristic search
Quantum computing is currently a research hotspot in both academia and industry. The inherent parallelism of quantum computers and the resulting...
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Heuristic search for one-to-many shortest path queries
In this paper we study the One-to-Many Shortest Path Problem (OMSPP), which is the problem of solving k shortest path problems that share the same...
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Heuristic search of (semi-)bent functions based on cellular automata
An interesting thread in the research of Boolean functions for cryptography and coding theory is the study of secondary constructions : given a known...
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A new hyper-heuristic based on ant lion optimizer and Tabu search algorithm for replica management in cloud environment
Information can be shared across the Internet using cloud computing, a powerful paradigm for meeting the needs of individuals and organizations. To...
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Heuristic Search Optimisation Using Planning and Curriculum Learning Techniques
Learning a well-informed heuristic function for hard planning domains is an elusive problem. Although there are known neural network architectures to...
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Q-learning-based hyper-heuristic framework for estimating the energy consumption of electric buses for public transport
This research study introduces a Q-learning enhanced hyper-heuristic framework for the accurate estimation of energy consumption rates of electric...
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On a model-free meta-heuristic approach for unconstrained optimization
The efficacy of meta-heuristic algorithms has been demonstrated in solving unconstrained optimization problems. Inspired by the food foraging...
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An Improvement Heuristic Based on Variable Neighborhood Search for Dynamic Orienteering Problems with Changing Node Values and Changing Budgets
We study the Dynamic Orienteering Problem (DOP) with changing node values and changing budgets. It is a complex combinatorial optimization problem...
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A novel evolutionary status guided hyper-heuristic algorithm for continuous optimization
This paper proposes a novel evolutionary status guided hyper-heuristic algorithm named ES-HHA for continuous optimization. A representative...
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Evolutionary multi-mode slime mold optimization: a hyper-heuristic algorithm inspired by slime mold foraging behaviors
This paper proposes a novel hyper-heuristic algorithm termed evolutionary multi-mode slime mold optimization (EMSMO) for addressing continuous...
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K-means and meta-heuristic algorithms for intrusion detection systems
In this research paper, we propose a two-stage hybrid approach that uses machine learning techniques and meta-heuristic algorithms. The first step,...
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CPTF–a new heuristic based branch and bound algorithm for workflow scheduling in heterogeneous distributed computing systems
Computationally intensive applications embodied as workflows entail interdependent tasks that involve multifarious computation requirements and...
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Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks
Dynamic networks are ubiquitous in many domains for modelling evolving graph-structured data and detecting changes allows us to understand the...
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Parallel Version of Local Search Heuristic Algorithm to Solve Capacitated Vehicle Routing Problem
The Vehicle Routing Problem (VRP) is an NP-hard scheduling problem for goods transportation with vehicle capacity and transportation cost...
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A meta-heuristic feature selection algorithm combining random sampling accelerator and ensemble using data perturbation
Meta-heuristic algorithms have been extensively utilized in feature selection tasks because they can obtain the global optimal solution. However, the...
