Evolutionary algorithm
View article: Static task allocation algorithm for multi-heterogeneous UAVs based on improved genetic operators
Static task allocation algorithm for multi-heterogeneous UAVs based on improved genetic operators Open
To address the issues of insufficient global optimality and robustness in traditional mission planning for unmanned aerial vehicles (UAVs) in urban disaster relief scenarios, this paper proposes a multi-heterogeneous UAV static task alloca…
View article: Comparative evaluation of large-scale many objective algorithms on complex optimization problems
Comparative evaluation of large-scale many objective algorithms on complex optimization problems Open
In the field of optimization, there has been an enormous surge in interest in addressing large-scale many-objective problems. Numerous academicians and practitioners have contributed to evolutionary computation by developing a variety of o…
View article: Investigating P&OHybrid MPPT Algorithms Using PSO and GA for Solar PV Systems Under Varying Irradiances
Investigating P&OHybrid MPPT Algorithms Using PSO and GA for Solar PV Systems Under Varying Irradiances Open
The performance of solar PV systems is highly influenced by changing environmental conditions such as irradiance and temperature. Tracking the maximum power point (MPP), efficiently under these varyingconditions is a major challenge. This …
View article: "MASCOT"
"MASCOT" Open
"In recent years, the explosion of malware and extensive code reuse have formed complex evolutionary connections among malware specimens. The rapid pace of development makes it challenging for existing studies to characterize recent evolut…
View article: EVOLUTIONARY DEVELOPMENT TRENDS OF ARTIFICIAL INTELLIGENCE ALGORITHMS AND THEIR APPLICATION IN NETWORK SYSTEMS
EVOLUTIONARY DEVELOPMENT TRENDS OF ARTIFICIAL INTELLIGENCE ALGORITHMS AND THEIR APPLICATION IN NETWORK SYSTEMS Open
This paper investigates the evolutionary development of Artificial Intelligence (AI) algorithms and their practical applications in modern network systems. The study explores the historical progression from rule-based and deterministic mod…
View article: EVOLUTIONARY DEVELOPMENT TRENDS OF ARTIFICIAL INTELLIGENCE ALGORITHMS AND THEIR APPLICATION IN NETWORK SYSTEMS
EVOLUTIONARY DEVELOPMENT TRENDS OF ARTIFICIAL INTELLIGENCE ALGORITHMS AND THEIR APPLICATION IN NETWORK SYSTEMS Open
This paper investigates the evolutionary development of Artificial Intelligence (AI) algorithms and their practical applications in modern network systems. The study explores the historical progression from rule-based and determi…
View article: Equilibrium as the Substrate Driver of Chemical Signaling and Evolution: Extending the Swygert Theory of Everything AO (STOE-AO) to Biological Systems
Equilibrium as the Substrate Driver of Chemical Signaling and Evolution: Extending the Swygert Theory of Everything AO (STOE-AO) to Biological Systems Open
This paper applies the Swygert Theory of Everything AO (STOE-AO) to biological systems by identifying equilibrium (Y) as the underlying driver of DNA fidelity, chemical signaling, homeostasis, and evolutionary change. It proposes that all …
View article: Equilibrium as the Substrate Driver of Chemical Signaling and Evolution: Extending the Swygert Theory of Everything AO (STOE-AO) to Biological Systems
Equilibrium as the Substrate Driver of Chemical Signaling and Evolution: Extending the Swygert Theory of Everything AO (STOE-AO) to Biological Systems Open
This paper applies the Swygert Theory of Everything AO (STOE-AO) to biological systems by identifying equilibrium (Y) as the underlying driver of DNA fidelity, chemical signaling, homeostasis, and evolutionary change. It proposes that all …
View article: Biological Anthropicity: Evolution as Deep Learning on Chemistry - Life is a Four-Billion-Year Pre-Training Run
Biological Anthropicity: Evolution as Deep Learning on Chemistry - Life is a Four-Billion-Year Pre-Training Run Open
The origin of life and the emergence of biological complexity pose a persistent combinatorial challenge, exploring a flat 4ⁿ sequence space within known physical limits is insufficient to account for the appearance and scaling of functiona…
View article: The Architectures of Animal Life: A Pan-Phylum Synthesis of Evolutionary Novelty and Constraint
The Architectures of Animal Life: A Pan-Phylum Synthesis of Evolutionary Novelty and Constraint Open
The immense diversity of animal body plans across the metazoan tree of life represents a profound outcome of evolutionary processes, characterized by both remarkable innovations and persistent phylogenetic and developmental constraints. Th…
View article: Ontological Truth as an Imperative for Evolution and Survival: The CTMinfo Concept
Ontological Truth as an Imperative for Evolution and Survival: The CTMinfo Concept Open
Ontological Truth as an Evolutionary Imperative: The CTMinfo Concept” presents a structural, engineering-level framework for solving the global crisis of informational uncertainty. Modern civilization relies on probabilistic data systems (…
View article: The MARR Equation™: A Framework for Evaluating Life Viability
The MARR Equation™: A Framework for Evaluating Life Viability Open
This paper introduces the MARR Equation™, a conceptual framework for evaluating the viability of recognizable, persistent complexity—what we commonly call “life”—across different spatial and temporal contexts. Originally formulated in 1992…
View article: Ontological Truth as an Imperative for Evolution and Survival: The CTMinfo Concept
Ontological Truth as an Imperative for Evolution and Survival: The CTMinfo Concept Open
Ontological Truth as an Evolutionary Imperative: The CTMinfo Concept” presents a structural, engineering-level framework for solving the global crisis of informational uncertainty. Modern civilization relies on probabilistic data systems (…
View article: The MARR Equation™: A Framework for Evaluating Life Viability
The MARR Equation™: A Framework for Evaluating Life Viability Open
This paper introduces the MARR Equation™, a conceptual framework for evaluating the viability of recognizable, persistent complexity—what we commonly call “life”—across different spatial and temporal contexts. Originally formulated in 1992…
View article: Phylogenomic Coalescent Clocks: Resolving Deep-Time Divergences
Phylogenomic Coalescent Clocks: Resolving Deep-Time Divergences Open
Estimating deep-time evolutionary divergences presents a fundamental challenge in evolutionary biology. Traditional molecular clock approaches often contend with rate heterogeneity, substitution saturation, and gene tree-species tree disco…
View article: The Architectures of Animal Life: A Pan-Phylum Synthesis of Evolutionary Novelty and Constraint
The Architectures of Animal Life: A Pan-Phylum Synthesis of Evolutionary Novelty and Constraint Open
The immense diversity of animal body plans across the metazoan tree of life represents a profound outcome of evolutionary processes, characterized by both remarkable innovations and persistent phylogenetic and developmental constraints. Th…
View article: Phylogenomic Coalescent Clocks: Resolving Deep-Time Divergences
Phylogenomic Coalescent Clocks: Resolving Deep-Time Divergences Open
Estimating deep-time evolutionary divergences presents a fundamental challenge in evolutionary biology. Traditional molecular clock approaches often contend with rate heterogeneity, substitution saturation, and gene tree-species tree disco…
View article: Exploring organic chemical space for materials discovery using crystal structure prediction-informed evolutionary optimisation
Exploring organic chemical space for materials discovery using crystal structure prediction-informed evolutionary optimisation Open
Organic molecular crystals offer a broad spectrum of potential applications. The vast number of possible molecules is both an opportunity and a challenge, because of the prohibitive expense of exhaustively searching chemical space to find …
View article: Enhanced kernel search algorithm for optimizing local search capability and its application to carbon fiber draft process
Enhanced kernel search algorithm for optimizing local search capability and its application to carbon fiber draft process Open
Kernel Search Optimization (KSO) is characterized by insufficient accuracy in local search, which makes it difficult to achieve local optimization. Therefore, this paper proposes a Large Local Search Kernel Search Optimization (LLSKSO) to …
View article: A Unified Stochastic Model for Modern Human Dispersal and Admixture
A Unified Stochastic Model for Modern Human Dispersal and Admixture Open
Archaeological and genetic evidence provide rich, albeit often fragmented, insights into modern human origins and diversification. However, a comprehensive theoretical framework capable of integrating the stochastic nature of these process…
View article: Enhanced Dempster-Shafer Classifier with Metaheuristics Optimization
Enhanced Dempster-Shafer Classifier with Metaheuristics Optimization Open
Dempster-Shafer Classifier with Metaheuristic Optimization A high-performance, Scikit-learn compatible implementation of a classifier based on Dempster-Shafer Theory (DST). This model utilizes Meta…
View article: Enhanced optical visible light positioning via RSS-based evolutionary optimization under LOS and NLOS conditions
Enhanced optical visible light positioning via RSS-based evolutionary optimization under LOS and NLOS conditions Open
View article: An Enhanced Multi-Stage Evolution Strategy for Large Size Magic Square Generationand Extension to Magic Rectangles
An Enhanced Multi-Stage Evolution Strategy for Large Size Magic Square Generationand Extension to Magic Rectangles Open
This research presents an enhanced multi-stage evolutionary strategy for the rapid and stable generation of large-scale magic squares and rectangles. Although previous methods have demonstrated improved performance, significant challenges …
View article: Solving One-Dimensional Material Cutting Model Based on Genetic Algorithm
Solving One-Dimensional Material Cutting Model Based on Genetic Algorithm Open
The cutting efficiency and material utilization challenges in window frame manufacturing represent a typical one-dimensional material cutting problem. Traditional linear programming algorithms encounter NP-hard issues, making effective sol…
View article: Evolutionary Needle‑Eye Theory: How Bottleneck Topology Shapes Adaptive Trajectories
Evolutionary Needle‑Eye Theory: How Bottleneck Topology Shapes Adaptive Trajectories Open
Evolution is usually described in terms of traits, genes, and environments. Populations adapt because variants reproduce more successfully than others under given conditions. Yet a recurring pattern appears across very different systems: e…
View article: Enhanced Dempster-Shafer Classifier with Metaheuristics Optimization
Enhanced Dempster-Shafer Classifier with Metaheuristics Optimization Open
Dempster-Shafer Classifier with Metaheuristic Optimization A high-performance, Scikit-learn compatible implementation of a classifier based on Dempster-Shafer Theory (DST). This model utilizes Metaheuristic Algorithms (RSA, HBA, OPA) to op…
View article: Biological Anthropicity: Evolution as Deep Learning on Chemistry - Life is a Four-Billion-Year Pre-Training Run
Biological Anthropicity: Evolution as Deep Learning on Chemistry - Life is a Four-Billion-Year Pre-Training Run Open
The origin of life and the emergence of biological complexity pose a persistent combinatorial challenge, exploring a flat 4ⁿ sequence space within known physical limits is insufficient to account for the appearance and scaling of functiona…
View article: Biological Anthropicity: Evolution as Deep Learning on Chemistry - Life is a Four-Billion-Year Pre-Training Run
Biological Anthropicity: Evolution as Deep Learning on Chemistry - Life is a Four-Billion-Year Pre-Training Run Open
The origin of life and the emergence of biological complexity pose a persistent combinatorial challenge, exploring a flat 4ⁿ sequence space within known physical limits is insufficient to account for the appearance and scaling of functiona…
View article: Biological Anthropicity: Evolution as Deep Learning on Chemistry - Life is a Four-Billion-Year Pre-Training Run
Biological Anthropicity: Evolution as Deep Learning on Chemistry - Life is a Four-Billion-Year Pre-Training Run Open
The origin of life and the emergence of biological complexity pose a persistent combinatorial challenge, exploring a flat 4ⁿ sequence space within known physical limits is insufficient to account for the appearance and scaling of functiona…
View article: Evolutionary Needle‑Eye Theory: How Bottleneck Topology Shapes Adaptive Trajectories
Evolutionary Needle‑Eye Theory: How Bottleneck Topology Shapes Adaptive Trajectories Open
Evolution is usually described in terms of traits, genes, and environments. Populations adapt because variants reproduce more successfully than others under given conditions. Yet a recurring pattern appears across very different systems: e…